{"id":62,"date":"2022-05-18T16:36:12","date_gmt":"2022-05-18T16:36:12","guid":{"rendered":"https:\/\/pressbooks.ccconline.org\/accintrostats\/chapter\/stem-and-leaf-graphs-stemplots-line-graphs-and-bar-graphs\/"},"modified":"2022-11-09T16:36:45","modified_gmt":"2022-11-09T16:36:45","slug":"stem-and-leaf-graphs-stemplots-line-graphs-and-bar-graphs","status":"publish","type":"chapter","link":"https:\/\/pressbooks.ccconline.org\/accintrostats\/chapter\/stem-and-leaf-graphs-stemplots-line-graphs-and-bar-graphs\/","title":{"raw":"Chapter 2.3: Bar Graphs, Histrograms, and Stem-and-Leaf Graphs (Stemplots)","rendered":"Chapter 2.3: Bar Graphs, Histrograms, and Stem-and-Leaf Graphs (Stemplots)"},"content":{"raw":"<h2>Bar Graphs<\/h2>\r\n<p id=\"eip-136\"><strong>Bar graphs<\/strong> consist of bars that are separated from each other. The bars can be rectangles or they can be rectangular boxes (used in three-dimensional plots), and they can be vertical or horizontal. The <strong>bar graph<\/strong> shown in <a class=\"autogenerated-content\" href=\"#example5\">(Figure)<\/a> has age groups represented on the <strong><em data-effect=\"italics\">x<\/em>-axis<\/strong> and proportions on the <strong><em data-effect=\"italics\">y<\/em>-axis<\/strong>.<\/p>\r\n\r\n<div id=\"example5\" class=\"textbox textbox--examples\" data-type=\"example\">\r\n<div id=\"fs-idm7260336\" data-type=\"exercise\">\r\n<div id=\"fs-idp99169968\" data-type=\"problem\">\r\n<p id=\"eip-666\">By the end of 2011, Facebook had over 146 million users in the United States. <a class=\"autogenerated-content\" href=\"#M01_Ch02_tbl010\">(Figure)<\/a> shows three age groups, the number of users in each age group, and the proportion (%) of users in each age group. Construct a bar graph using this data.<\/p>\r\n\r\n<table id=\"M01_Ch02_tbl010\" summary=\"The information is from Facebook. The first row of the table displays age groups, the second row displays number of Facebook users and the third row displays percentages.\">\r\n<thead>\r\n<tr>\r\n<th>Age groups<\/th>\r\n<th>Number of Facebook users<\/th>\r\n<th>Proportion (%) of Facebook users<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>13\u201325<\/td>\r\n<td>65,082,280<\/td>\r\n<td>45%<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>26\u201344<\/td>\r\n<td>53,300,200<\/td>\r\n<td>36%<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>45\u201364<\/td>\r\n<td>27,885,100<\/td>\r\n<td>19%<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<div id=\"fs-idp32850832\" data-type=\"solution\">\r\n<div id=\"fs-idm25485824\" class=\"bc-figure figure\"><span id=\"bar_graph_Facebook\" data-type=\"media\" data-display=\"block\" data-alt=\"This is a bar graph that matches the supplied data. The x-axis shows age groups, and the y-axis shows the percentages of Facebook users.\"><img src=\"https:\/\/pressbooks.ccconline.org\/acccomposition1\/wp-content\/uploads\/sites\/83\/2022\/08\/fig-ch02_03_02-1.jpg\" alt=\"This is a bar graph that matches the supplied data. The x-axis shows age groups, and the y-axis shows the percentages of Facebook users.\" width=\"380\" data-media-type=\"image\/jpg\" \/><\/span><\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<div id=\"fs-idp2492880\" class=\"statistics try\" data-type=\"note\" data-has-label=\"true\" data-label=\"\">\r\n<div data-type=\"title\">Try It<\/div>\r\n<div id=\"fs-idm47906688\" data-type=\"exercise\">\r\n<div id=\"fs-idm7708128\" data-type=\"problem\">\r\n<p id=\"fs-idp6746384\">The population in Park City is made up of children, working-age adults, and retirees. <a class=\"autogenerated-content\" href=\"#M01_Ch02_tbl011\">(Figure)<\/a> shows the three age groups, the number of people in the town from each age group, and the proportion (%) of people in each age group. Construct a bar graph showing the proportions.<\/p>\r\n\r\n<table id=\"M01_Ch02_tbl011\" summary=\"\">\r\n<thead>\r\n<tr>\r\n<th>Age groups<\/th>\r\n<th>Number of people<\/th>\r\n<th>Proportion of population<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>Children<\/td>\r\n<td>67,059<\/td>\r\n<td>19%<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Working-age adults<\/td>\r\n<td>152,198<\/td>\r\n<td>43%<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Retirees<\/td>\r\n<td>131,662<\/td>\r\n<td>38%<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<div class=\"textbox textbox--examples\" data-type=\"example\">\r\n<div id=\"fs-idm25526448\" data-type=\"exercise\">\r\n<div id=\"fs-idm19535184\" data-type=\"problem\">\r\n<p id=\"eip-655\">The columns in <a class=\"autogenerated-content\" href=\"#M01_Ch02_tbl012\">(Figure)<\/a> contain: the race or ethnicity of students in U.S. Public Schools for the class of 2011, percentages for the Advanced Placement examine population for that class, and percentages for the overall student population. Create a bar graph with the student race or ethnicity (qualitative data) on the <em data-effect=\"italics\">x<\/em>-axis, and the Advanced Placement examinee population percentages on the <em data-effect=\"italics\">y<\/em>-axis.<\/p>\r\n\r\n<table id=\"M01_Ch02_tbl012\" summary=\"The table shows Race and Ethnicity in the first column, Advanced Placement Examinee Population in the second column and Overall Student Population in the third column.\">\r\n<thead>\r\n<tr>\r\n<th>Race\/Ethnicity<\/th>\r\n<th>AP Examinee Population<\/th>\r\n<th>Overall Student Population<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>1 = Asian, Asian American or Pacific Islander<\/td>\r\n<td>10.3%<\/td>\r\n<td>5.7%<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>2 = Black or African American<\/td>\r\n<td>9.0%<\/td>\r\n<td>14.7%<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>3 = Hispanic or Latino<\/td>\r\n<td>17.0%<\/td>\r\n<td>17.6%<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>4 = American Indian or Alaska Native<\/td>\r\n<td>0.6%<\/td>\r\n<td>1.1%<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>5 = White<\/td>\r\n<td>57.1%<\/td>\r\n<td>59.2%<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>6 = Not reported\/other<\/td>\r\n<td>6.0%<\/td>\r\n<td>1.7%<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<div id=\"fs-idp30402432\" data-type=\"solution\">\r\n<div id=\"M01_Ch02_fig003\" class=\"bc-figure figure\"><span id=\"bar_graph_Ap_Examinee\" data-type=\"media\" data-display=\"block\" data-alt=\"This is a bar graph that matches the supplied data. The x-axis shows race and ethnicity, and the y-axis shows the percentages of AP examinees.\"><img src=\"https:\/\/pressbooks.ccconline.org\/acccomposition1\/wp-content\/uploads\/sites\/83\/2022\/08\/fig-ch02_03_03-1.jpg\" alt=\"This is a bar graph that matches the supplied data. The x-axis shows race and ethnicity, and the y-axis shows the percentages of AP examinees.\" width=\"380\" data-media-type=\"image\/jpg\" \/><\/span><\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<div id=\"fs-idp41522672\" class=\"statistics try\" data-type=\"note\" data-has-label=\"true\" data-label=\"\">\r\n<div data-type=\"title\">Try It<\/div>\r\n<div id=\"fs-idm43065520\" data-type=\"exercise\">\r\n<div id=\"fs-idp3652336\" data-type=\"problem\">\r\n<p id=\"fs-idp31379616\">Park city is broken down into six voting districts. The table shows the percent of the total registered voter population that lives in each district as well as the percent total of the entire population that lives in each district. Construct a bar graph that shows the registered voter population by district.<\/p>\r\n\r\n<table id=\"M01_Ch02_tbl013\" summary=\"\"><colgroup> <col data-align=\"center\" \/> <col \/> <col \/><\/colgroup>\r\n<thead>\r\n<tr>\r\n<th>District<\/th>\r\n<th>Registered voter population<\/th>\r\n<th>Overall city population<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>1<\/td>\r\n<td>15.5%<\/td>\r\n<td>19.4%<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>2<\/td>\r\n<td>12.2%<\/td>\r\n<td>15.6%<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>3<\/td>\r\n<td>9.8%<\/td>\r\n<td>9.0%<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>4<\/td>\r\n<td>17.4%<\/td>\r\n<td>18.5%<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>5<\/td>\r\n<td>22.8%<\/td>\r\n<td>20.7%<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>6<\/td>\r\n<td>22.3%<\/td>\r\n<td>16.8%<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<div id=\"fs-idm21451296\" class=\"footnotes\" data-depth=\"1\">\r\n<h2>Histograms<\/h2>\r\n<p id=\"element-657\">For most of the work you do in this book, you will use a histogram to display the data. One advantage of a histogram is that it can readily display large data sets. A rule of thumb is to use a histogram when the data set consists of 100 values or more.<\/p>\r\n<p id=\"element-446\">A <span data-type=\"term\">histogram<\/span> consists of contiguous (adjoining) boxes. It has both a horizontal axis and a vertical axis. The horizontal axis is labeled with what the data represents (for instance, distance from your home to school). The vertical axis is labeled either <span data-type=\"term\">frequency<\/span> or <span data-type=\"term\">relative frequency<\/span> (or percent frequency or probability). The graph will have the same shape with either label. The histogram (like the stemplot) can give you the shape of the data, the center, and the spread of the data.<\/p>\r\n<p id=\"element-123\">The relative frequency is equal to the frequency for an observed value of the data divided by the total number of data values in the sample. (Remember, frequency is defined as the number of times an answer occurs.) If:<\/p>\r\n\r\n<ul id=\"element-614\">\r\n \t<li><em data-effect=\"italics\">f<\/em> = frequency<\/li>\r\n \t<li><em data-effect=\"italics\">n<\/em> = total number of data values (or the sum of the individual frequencies), and<\/li>\r\n \t<li><em data-effect=\"italics\">RF<\/em> = relative frequency,<\/li>\r\n<\/ul>\r\n<p id=\"element-700\">then:<\/p>\r\n\r\n<div id=\"element-1000\" data-type=\"equation\">\\(\\text{RF}=\\frac{f}{n}\\)<\/div>\r\n<p id=\"element-323\">For example, if three students in Mr. Ahab's English class of 40 students received from 90% to 100%, then,<\/p>\r\n<em data-effect=\"italics\">f<\/em> = 3, <em data-effect=\"italics\">n<\/em> = 40, and <em data-effect=\"italics\">RF<\/em> = \\(\\frac{f}{n}\\) = \\(\\frac{3}{40}\\) = 0.075. 7.5% of the students received 90\u2013100%. 90\u2013100% are quantitative measures.\r\n<p id=\"element-237\"><strong>To construct a histogram<\/strong>, first decide how many <strong>bars<\/strong> or <strong>intervals<\/strong>, also called classes, represent the data. Many histograms consist of five to 15 bars or classes for clarity. The number of bars needs to be chosen. Choose a starting point for the first interval to be less than the smallest data value. A <strong>convenient starting point<\/strong> is a lower value carried out to one more decimal place than the value with the most decimal places. For example, if the value with the most decimal places is 6.1 and this is the smallest value, a convenient starting point is 6.05 (6.1 \u2013 0.05 = 6.05). We say that 6.05 has more precision. If the value with the most decimal places is 2.23 and the lowest value is 1.5, a convenient starting point is 1.495 (1.5 \u2013 0.005 = 1.495). If the value with the most decimal places is 3.234 and the lowest value is 1.0, a convenient starting point is 0.9995 (1.0 \u2013 0.0005 = 0.9995). If all the data happen to be integers and the smallest value is two, then a convenient starting point is 1.5 (2 \u2013 0.5 = 1.5). Also, when the starting point and other boundaries are carried to one additional decimal place, no data value will fall on a boundary. The next two examples go into detail about how to construct a histogram using continuous data and how to create a histogram using discrete data.<\/p>\r\n\r\n<div id=\"exampid1\" class=\"textbox textbox--examples\" data-type=\"example\">\r\n<p id=\"element-743\">The following data are the heights (in inches to the nearest half inch) of 100 male semiprofessional soccer players. The heights are <strong>continuous<\/strong> data, since height is measured. <span data-type=\"newline\">\r\n<\/span>60;\u00a0 60.5;\u00a0 61;\u00a0 61;\u00a0 61.5 <span data-type=\"newline\">\r\n<\/span>63.5;\u00a0 63.5;\u00a0 63.5 <span data-type=\"newline\">\r\n<\/span>64;\u00a0 64;\u00a0 64;\u00a0 64;\u00a0 64;\u00a0 64;\u00a0 64;\u00a0 64.5;\u00a0 64.5;\u00a0 64.5;\u00a0 64.5;\u00a0 64.5;\u00a0 64.5;\u00a0 64.5;\u00a0 64.5 <span data-type=\"newline\">\r\n<\/span>66;\u00a0 66;\u00a0 66;\u00a0 66;\u00a0 66;\u00a0 66;\u00a0 66;\u00a0 66;\u00a0 66;\u00a0 66;\u00a0 66.5;\u00a0 66.5;\u00a0 66.5;\u00a0 66.5;\u00a0 66.5;\u00a0 66.5;\u00a0 66.5;\u00a0 66.5;\u00a0 66.5;\u00a0 66.5;\u00a0 66.5;\u00a0 67;\u00a0 67;\u00a0 67;\u00a0 67;\u00a0 67;\u00a0 67;\u00a0 67;\u00a0 67;\u00a0 67;\u00a0 67;\u00a0 67;\u00a0 67;\u00a0 67.5;\u00a0 67.5;\u00a0 67.5;\u00a0 67.5;\u00a0 67.5;\u00a0 67.5;\u00a0 67.5 <span data-type=\"newline\">\r\n<\/span>68;\u00a0 68;\u00a0 69;\u00a0 69;\u00a0 69;\u00a0 69;\u00a0 69;\u00a0 69;\u00a0 69;\u00a0 69;\u00a0 69;\u00a0 69;\u00a0 69.5;\u00a0 69.5;\u00a0 69.5;\u00a0 69.5;\u00a0 69.5 <span data-type=\"newline\">\r\n<\/span>70;\u00a0 70;\u00a0 70;\u00a0 70;\u00a0 70;\u00a0 70;\u00a0 70.5;\u00a0 70.5;\u00a0 70.5;\u00a0 71;\u00a0 71;\u00a0 71 <span data-type=\"newline\">\r\n<\/span>72;\u00a0 72;\u00a0 72;\u00a0 72.5;\u00a0 72.5;\u00a0 73;\u00a0 73.5 <span data-type=\"newline\">\r\n<\/span>74<\/p>\r\n<p id=\"element-364\">The smallest data value is 60. Since the data with the most decimal places has one decimal (for instance, 61.5), we want our starting point to have two decimal places. Since the numbers 0.5, 0.05, 0.005, etc. are convenient numbers, use 0.05 and subtract it from 60, the smallest value, for the convenient starting point.<\/p>\r\n<p id=\"element-906\">60 \u2013 0.05 = 59.95 which is more precise than, say, 61.5 by one decimal place. The starting point is, then, 59.95.<\/p>\r\n<p id=\"element-291\">The largest value is 74, so 74 + 0.05 = 74.05 is the ending value.<\/p>\r\nNext, calculate the width of each bar or class interval. To calculate this width, subtract the starting point from the ending value and divide by the number of bars (you must choose the number of bars you desire). Suppose you choose eight bars.\r\n<div id=\"element-2133\" data-type=\"equation\">\\(\\frac{74.05-59.95}{8}=1.76\\)<\/div>\r\n<div id=\"id7476385\" data-type=\"note\" data-has-label=\"true\" data-label=\"\">\r\n<div data-type=\"title\">NOTE<\/div>\r\n<p id=\"fs-idm11623536\">We will round up to two and make each bar or class interval two units wide. Rounding up to two is one way to prevent a value from falling on a boundary. Rounding to the next number is often necessary even if it goes against the standard rules of rounding. For this example, using 1.76 as the width would also work. A guideline that is followed by some for the number of bars or class intervals is to take the square root of the number of data values and then round to the nearest whole number, if necessary. For example, if there are 150 values of data, take the square root of 150 and round to 12 bars or intervals.<\/p>\r\n\r\n<\/div>\r\n<p id=\"element-209\">The boundaries are:<\/p>\r\n\r\n<ul id=\"element-790\">\r\n \t<li>59.95<\/li>\r\n \t<li>59.95 + 2 = 61.95<\/li>\r\n \t<li>61.95 + 2 = 63.95<\/li>\r\n \t<li>63.95 + 2 = 65.95<\/li>\r\n \t<li>65.95 + 2 = 67.95<\/li>\r\n \t<li>67.95 + 2 = 69.95<\/li>\r\n \t<li>69.95 + 2 = 71.95<\/li>\r\n \t<li>71.95 + 2 = 73.95<\/li>\r\n \t<li>73.95 + 2 = 75.95<\/li>\r\n<\/ul>\r\n<p id=\"element-159\">The heights 60 through 61.5 inches are in the interval 59.95\u201361.95. The heights that are 63.5 are in the interval 61.95\u201363.95. The heights that are 64 through 64.5 are in the interval 63.95\u201365.95. The heights 66 through 67.5 are in the interval 65.95\u201367.95. The heights 68 through 69.5 are in the interval 67.95\u201369.95. The heights 70 through 71 are in the interval 69.95\u201371.95. The heights 72 through 73.5 are in the interval 71.95\u201373.95. The height 74 is in the interval 73.95\u201375.95.<\/p>\r\n<p id=\"element-451\">The following histogram displays the heights on the <em data-effect=\"italics\">x<\/em>-axis and relative frequency on the <em data-effect=\"italics\">y<\/em>-axis.<\/p>\r\n\r\n<div id=\"eip-idm88475792\" class=\"bc-figure figure\"><span id=\"id7474144\" data-type=\"media\" data-alt=\"Histogram consists of 8 bars with the y-axis in increments of 0.05 from 0-0.4 and the x-axis in intervals of 2 from 59.95-75.95.\" data-display=\"block\"><img src=\"https:\/\/pressbooks.ccconline.org\/acccomposition1\/wp-content\/uploads\/sites\/83\/2022\/05\/fig-ch_02_04_01-1.jpg\" alt=\"Histogram consists of 8 bars with the y-axis in increments of 0.05 from 0-0.4 and the x-axis in intervals of 2 from 59.95-75.95.\" width=\"350\" data-media-type=\"image\/png\" \/><\/span><\/div>\r\n<\/div>\r\n<div id=\"fs-idp304592\" class=\"statistics try\" data-type=\"note\" data-has-label=\"true\" data-label=\"\">\r\n<div data-type=\"title\">Try It<\/div>\r\n<div id=\"fs-idm28791888\" data-type=\"exercise\">\r\n<div id=\"fs-idp77099632\" data-type=\"problem\">\r\n<p id=\"fs-idp43536752\">The following data are the shoe sizes of 50 male students. The sizes are discrete data since shoe size is measured in whole and half units only. Construct a histogram and calculate the width of each bar or class interval. Suppose you choose six bars. <span data-type=\"newline\">\r\n<\/span>9;\u00a0 9;\u00a0 9.5;\u00a0 9.5;\u00a0 10;\u00a0 10;\u00a0 10;\u00a0 10;\u00a0 10;\u00a0 10;\u00a0 10.5;\u00a0 10.5;\u00a0 10.5;\u00a0 10.5;\u00a0 10.5;\u00a0 10.5;\u00a0 10.5;\u00a0 10.5 <span data-type=\"newline\">\r\n<\/span>11;\u00a0 11;\u00a0 11;\u00a0 11;\u00a0 11;\u00a0 11;\u00a0 11;\u00a0 11;\u00a0 11;\u00a0 11;\u00a0 11;\u00a0 11;\u00a0 11;\u00a0 11.5;\u00a0 11.5;\u00a0 11.5;\u00a0 11.5;\u00a0 11.5;\u00a0 11.5;\u00a0 11.5 <span data-type=\"newline\">\r\n<\/span>12;\u00a0 12;\u00a0 12;\u00a0 12;\u00a0 12;\u00a0 12;\u00a0 12;\u00a0 12.5;\u00a0 12.5;\u00a0 12.5;\u00a0 12.5;\u00a0 14<\/p>\r\n\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<div id=\"exampid2\" class=\"textbox textbox--examples\" data-type=\"example\">\r\n\r\nCreate a histogram for the following data: the number of books bought by 50 part-time college students at ABC College.the number of books bought by 50 part-time college students at ABC College. The number of books is <strong>discrete data<\/strong>, since books are counted. <span data-type=\"newline\">\r\n<\/span>1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1 <span data-type=\"newline\">\r\n<\/span>2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2 <span data-type=\"newline\">\r\n<\/span>3;\u00a0 3;\u00a0 3;\u00a0 3;\u00a0 3;\u00a0 3;\u00a0 3;\u00a0 3;\u00a0 3;\u00a0 3;\u00a0 3;\u00a0 3;\u00a0 3;\u00a0 3;\u00a0 3;\u00a0 3 <span data-type=\"newline\">\r\n<\/span>4;\u00a0 4;\u00a0 4;\u00a0 4;\u00a0 4;\u00a0 4 <span data-type=\"newline\">\r\n<\/span>5;\u00a0 5;\u00a0 5;\u00a0 5;\u00a0 5 <span data-type=\"newline\">\r\n<\/span>6;\u00a0 6\r\n<p id=\"element-760\">Eleven students buy one book. Ten students buy two books. Sixteen students buy three books. Six students buy four books. Five students buy five books. Two students buy six books.<\/p>\r\n<p id=\"element-728\">Because the data are integers, subtract 0.5 from 1, the smallest data value and add 0.5 to 6, the largest data value. Then the starting point is 0.5 and the ending value is 6.5.<\/p>\r\n\r\n<div id=\"element-545\" data-type=\"exercise\">\r\n<div id=\"id8093949\" data-type=\"problem\">\r\n<p id=\"element-818\">Next, calculate the width of each bar or class interval. If the data are discrete and there are not too many different values, a width that places the data values in the middle of the bar or class interval is the most convenient. Since the data consist of the numbers 1, 2, 3, 4, 5, 6, and the starting point is 0.5, a width of one places the 1 in the middle of the interval from 0.5 to 1.5, the 2 in the middle of the interval from 1.5 to 2.5, the 3 in the middle of the interval from 2.5 to 3.5, the 4 in the middle of the interval from _______ to _______, the 5 in the middle of the interval from _______ to _______, and the _______ in the middle of the interval from _______ to _______ .<\/p>\r\n\r\n<\/div>\r\n<div id=\"id12377723\" data-type=\"solution\" data-print-placement=\"end\">\r\n<ul>\r\n \t<li>3.5 to 4.5<\/li>\r\n \t<li>4.5 to 5.5<\/li>\r\n \t<li>6<\/li>\r\n \t<li>5.5 to 6.5<\/li>\r\n<\/ul>\r\n<\/div>\r\n<\/div>\r\nCalculate the number of bars as follows:\r\n<div id=\"element-48\" data-type=\"equation\">\\(\\frac{6.5-0.5}{\\mathrm{number of bars}}=1\\)<\/div>\r\n<p id=\"element-600\">where 1 is the width of a bar. Therefore, bars = 6.<\/p>\r\n<p id=\"element-756\">The following histogram displays the number of books on the <em data-effect=\"italics\">x<\/em>-axis and the frequency on the <em data-effect=\"italics\">y<\/em>-axis.<\/p>\r\n\r\n<div id=\"eip-idp35221648\" class=\"bc-figure figure\"><span id=\"id5693638\" data-type=\"media\" data-alt=\"Histogram consists of 6 bars with the y-axis in increments of 2 from 0-16 and the x-axis in intervals of 1 from 0.5-6.5.\" data-display=\"block\"><img src=\"https:\/\/pressbooks.ccconline.org\/acccomposition1\/wp-content\/uploads\/sites\/83\/2022\/08\/fig-ch_02_04_02-1.jpg\" alt=\"Histogram consists of 6 bars with the y-axis in increments of 2 from 0-16 and the x-axis in intervals of 1 from 0.5-6.5.\" width=\"380\" data-media-type=\"image\/png\" \/><\/span><\/div>\r\n<\/div>\r\n<div id=\"fs-idm25803056\" class=\"statistics calculator\" data-type=\"note\" data-has-label=\"true\" data-label=\"\">\r\n<p id=\"fs-idm23601024\">Go to <a class=\"autogenerated-content\" href=\"\/contents\/d0ba1833-f0d2-4195-8765-3c436745f0fb\">(Figure)<\/a>. There are calculator instructions for entering data and for creating a customized histogram. Create the histogram for <a class=\"autogenerated-content\" href=\"#exampid2\">(Figure)<\/a>.<\/p>\r\n\r\n<ul id=\"fs-idp2836464\">\r\n \t<li>Press Y=. Press CLEAR to delete any equations.<\/li>\r\n \t<li>Press STAT 1:EDIT. If L1 has data in it, arrow up into the name L1, press CLEAR and then arrow down. If necessary, do the same for L2.<\/li>\r\n \t<li>Into L1, enter 1, 2, 3, 4, 5, 6.<\/li>\r\n \t<li>Into L2, enter 11, 10, 16, 6, 5, 2.<\/li>\r\n \t<li>Press WINDOW. Set Xmin = .5, Xmax = 6.5, Xscl = (6.5 \u2013 .5)\/6, Ymin = \u20131, Ymax = 20, Yscl = 1, Xres = 1.<\/li>\r\n \t<li>Press 2<sup>nd<\/sup> Y=. Start by pressing 4:Plotsoff ENTER.<\/li>\r\n \t<li>Press 2<sup>nd<\/sup> Y=. Press 1:Plot1. Press ENTER. Arrow down to TYPE. Arrow to the 3<sup>rd<\/sup> picture (histogram). Press ENTER.<\/li>\r\n \t<li>Arrow down to Xlist: Enter L1 (2<sup>nd<\/sup> 1). Arrow down to Freq. Enter L2 (2<sup>nd<\/sup> 2).<\/li>\r\n \t<li>Press GRAPH.<\/li>\r\n \t<li>Use the TRACE key and the arrow keys to examine the histogram.<\/li>\r\n<\/ul>\r\n<\/div>\r\n<div id=\"fs-idm93603984\" class=\"statistics try\" data-type=\"note\" data-has-label=\"true\" data-label=\"\">\r\n<div data-type=\"title\">Try It<\/div>\r\n<div id=\"fs-idp68031136\" data-type=\"exercise\">\r\n<div id=\"fs-idp68031392\" data-type=\"problem\">\r\n<p id=\"fs-idp62894704\">The following data are the number of sports played by 50 student athletes. The number of sports is discrete data since sports are counted.<\/p>\r\n<p id=\"fs-idp50986496\">1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1 <span data-type=\"newline\">\r\n<\/span>2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2 <span data-type=\"newline\">\r\n<\/span>3;\u00a0 3;\u00a0 3;\u00a0 3;\u00a0 3;\u00a0 3;\u00a0 3;\u00a0 3 <span data-type=\"newline\">\r\n<\/span>20 student athletes play one sport. 22 student athletes play two sports. Eight student athletes play three sports.<\/p>\r\n<p id=\"fs-idp11189216\"><em data-effect=\"italics\">Fill in the blanks for the following sentence.<\/em> Since the data consist of the numbers 1, 2, 3, and the starting point is 0.5, a width of one places the 1 in the middle of the interval 0.5 to _____, the 2 in the middle of the interval from _____ to _____, and the 3 in the middle of the interval from _____ to _____.<\/p>\r\n\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<div id=\"fs-idp46234048\" class=\"textbox textbox--examples\" data-type=\"example\">\r\n<div id=\"fs-idm61675872\" data-type=\"exercise\">\r\n<div id=\"fs-idp66653792\" data-type=\"problem\">\r\n<p id=\"fs-idm21354960\">Using this data set, construct a histogram.<\/p>\r\n\r\n<table id=\"fs-idp46234304\" summary=\"\">\r\n<thead>\r\n<tr>\r\n<th colspan=\"5\">Number of Hours My Classmates Spent Playing Video Games on Weekends<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>9.95<\/td>\r\n<td>10<\/td>\r\n<td>2.25<\/td>\r\n<td>16.75<\/td>\r\n<td>0<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>19.5<\/td>\r\n<td>22.5<\/td>\r\n<td>7.5<\/td>\r\n<td>15<\/td>\r\n<td>12.75<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>5.5<\/td>\r\n<td>11<\/td>\r\n<td>10<\/td>\r\n<td>20.75<\/td>\r\n<td>17.5<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>23<\/td>\r\n<td>21.9<\/td>\r\n<td>24<\/td>\r\n<td>23.75<\/td>\r\n<td>18<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>20<\/td>\r\n<td>15<\/td>\r\n<td>22.9<\/td>\r\n<td>18.8<\/td>\r\n<td>20.5<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<div id=\"fs-idm51477920\" data-type=\"solution\">\r\n<div id=\"fs-idp72238816\" class=\"bc-figure figure\"><span id=\"fs-idm21354576\" data-type=\"media\" data-alt=\"This is a histogram that matches the supplied data. The x-axis consists of 5 bars in intervals of 5 from 0 to 25. The y-axis is marked in increments of 1 from 0 to 10. The x-axis shows the number of hours spent playing video games on the weekends, and the y-axis shows the number of students.\" data-display=\"block\"><img src=\"https:\/\/pressbooks.ccconline.org\/acccomposition1\/wp-content\/uploads\/sites\/83\/2022\/08\/CNX_Stats_C02_M04_020-1.jpg\" alt=\"This is a histogram that matches the supplied data. The x-axis consists of 5 bars in intervals of 5 from 0 to 25. The y-axis is marked in increments of 1 from 0 to 10. The x-axis shows the number of hours spent playing video games on the weekends, and the y-axis shows the number of students.\" width=\"400\" data-media-type=\"image\/png\" \/><\/span><\/div>\r\n<p id=\"fs-idm106252848\">Some values in this data set fall on boundaries for the class intervals. A value is counted in a class interval if it falls on the left boundary, but not if it falls on the right boundary. Different researchers may set up histograms for the same data in different ways. There is more than one correct way to set up a histogram.<\/p>\r\n\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<div id=\"fs-idm161572864\" class=\"statistics try\" data-type=\"note\" data-has-label=\"true\" data-label=\"\">\r\n<div data-type=\"title\">Try It<\/div>\r\n<div id=\"fs-idm32934816\" data-type=\"exercise\">\r\n<div id=\"fs-idm4304416\" data-type=\"problem\">\r\n<p id=\"fs-idp57423888\">The following data represent the number of employees at various restaurants in New York City. Using this data, create a histogram.<\/p>\r\n<p id=\"fs-idp57424272\"><span data-type=\"list\" data-list-type=\"labeled-item\" data-display=\"inline\">22\u00a0 35\u00a0 15\u00a0 26\u00a0 40\u00a0 28\u00a0 18\u00a0 20\u00a0 25\u00a0 34\u00a0 39\u00a0 42\u00a0 24\u00a0 22\u00a0 19\u00a0 27\u00a0 22\u00a0 34\u00a0 40\u00a0 20\u00a0 38\u00a0 and\u00a0 28<\/span><span data-type=\"newline\">\r\n<\/span>Use 10\u201319 as the first interval.<\/p>\r\n\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<div id=\"fs-idm107220592\" class=\"statistics collab\" data-type=\"note\" data-has-label=\"true\" data-label=\"\">\r\n\r\nCount the money (bills and change) in your pocket or purse. Your instructor will record the amounts. As a class, construct a histogram displaying the data. Discuss how many intervals you think is appropriate. You may want to experiment with the number of intervals.\r\n\r\n<\/div>\r\n<div id=\"fs-idm4800336\" class=\"bc-section section\" data-depth=\"1\">\r\n<h2 data-type=\"title\">Stem and Leaf<\/h2>\r\n<\/div>\r\n<\/div>\r\n<p id=\"id6999853\">One simple graph, the <strong>stem-and-leaf graph<\/strong> or <strong>stemplot<\/strong>, comes from the field of exploratory data analysis. It is a good choice when the data sets are small. To create the plot, divide each observation of data into a stem and a leaf. The leaf consists of a <strong>final significant digit<\/strong>. For example, 23 has stem two and leaf three. The number 432 has stem 43 and leaf two. Likewise, the number 5,432 has stem 543 and leaf two. The decimal 9.3 has stem nine and leaf three. Write the stems in a vertical line from smallest to largest. Draw a vertical line to the right of the stems. Then write the leaves in increasing order next to their corresponding stem.<\/p>\r\n\r\n<div id=\"element-696\" class=\"textbox textbox--examples\" data-type=\"example\">\r\n<p id=\"element-948\">For Susan Dean's spring pre-calculus class, scores for the first exam were as follows (smallest to largest): <span data-type=\"newline\">\r\n<\/span> 33;\u00a0 42;\u00a0 49;\u00a0 49;\u00a0 53;\u00a0 55;\u00a0 55;\u00a0 61;\u00a0 63;\u00a0 67;\u00a0 68;\u00a0 68;\u00a0 69;\u00a0 69;\u00a0 72;\u00a0 73;\u00a0 74;\u00a0 78;\u00a0 80;\u00a0 83;\u00a0 88;\u00a0 88;\u00a0 88;\u00a0 90;\u00a0 92;\u00a0 94;\u00a0 94;\u00a0 94;\u00a0 94;\u00a0 96;\u00a0 100<\/p>\r\n\r\n<table id=\"element-185\" summary=\"Table displaying stem in first column and leaf in second column for the values listed above.\"><caption><span data-type=\"title\">Stem-and-Leaf Graph<\/span><\/caption>\r\n<thead>\r\n<tr>\r\n<th>Stem<\/th>\r\n<th>Leaf<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>3<\/td>\r\n<td>3<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>4<\/td>\r\n<td>2\u00a0 9\u00a0 9<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>5<\/td>\r\n<td>3\u00a0 5\u00a0 5<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>6<\/td>\r\n<td>1\u00a0 3\u00a0 7\u00a0 8\u00a0 8\u00a0 9\u00a0 9<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>7<\/td>\r\n<td>2\u00a0 3\u00a0 4\u00a0 8<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>8<\/td>\r\n<td>0\u00a0 3\u00a0 8\u00a0 8\u00a0 8<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>9<\/td>\r\n<td>0\u00a0 2\u00a0 4\u00a0 4\u00a0 4\u00a0 4\u00a0 6<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>10<\/td>\r\n<td>0<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<p id=\"element-541\">The stemplot shows that most scores fell in the 60s, 70s, 80s, and 90s. Eight out of the 31 scores or approximately 26% (left(frac{8}{31}right)) were in the 90s or 100, a fairly high number of As.<\/p>\r\n\r\n<\/div>\r\n<div id=\"fs-idp6114880\" class=\"statistics try\" data-type=\"note\" data-has-label=\"true\" data-label=\"\">\r\n<div data-type=\"title\">Try It<\/div>\r\n<div id=\"fs-idp3142256\" data-type=\"exercise\">\r\n<div id=\"fs-idm28250320\" data-type=\"problem\">\r\n<p id=\"fs-idp29192512\">For the Park City basketball team, scores for the last 30 games were as follows (smallest to largest): <span data-type=\"newline\">\r\n<\/span> 32; 32; 33; 34; 38; 40; 42; 42; 43; 44; 46; 47; 47; 48; 48; 48; 49; 50; 50; 51; 52; 52; 52; 53; 54; 56; 57; 57; 60; 61 <span data-type=\"newline\">\r\n<\/span>Construct a stem plot for the data.<\/p>\r\n\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<p id=\"eip-522\">The stemplot is a quick way to graph data and gives an exact picture of the data. You want to look for an overall pattern and any outliers. An <span data-type=\"term\">outlier<\/span> is an observation of data that does not fit the rest of the data. It is sometimes called an <strong>extreme value.<\/strong> When you graph an outlier, it will appear not to fit the pattern of the graph. Some outliers are due to mistakes (for example, writing down 50 instead of 500) while others may indicate that something unusual is happening. It takes some background information to explain outliers, so we will cover them in more detail later.<\/p>\r\n\r\n<div id=\"element-798\" class=\"textbox textbox--examples\" data-type=\"example\">\r\n<p id=\"element-534\">The data are the distances (in kilometers) from a home to local supermarkets. Create a stemplot using the data: <span data-type=\"newline\">\r\n<\/span>1.1;\u00a0 1.5;\u00a0 2.3;\u00a0 2.5;\u00a0 2.7;\u00a0 3.2;\u00a0 3.3;\u00a0 3.3;\u00a0 3.5;\u00a0 3.8;\u00a0 4.0;\u00a0 4.2;\u00a0 4.5;\u00a0 4.5;\u00a0 4.7;\u00a0 4.8;\u00a0 5.5;\u00a0 5.6;\u00a0 6.5;\u00a0 6.7;\u00a0 12.3<\/p>\r\n\r\n<div id=\"element-6923\" data-type=\"exercise\">\r\n<div id=\"id8567884\" data-type=\"problem\">\r\n<p id=\"fs-idp11807920\">Do the data seem to have any concentration of values?<\/p>\r\n\r\n<div id=\"id8559724\" data-type=\"note\" data-has-label=\"true\" data-label=\"\">\r\n<div data-type=\"title\">NOTE<\/div>\r\n<p id=\"fs-idp145995424\">The leaves are to the right of the decimal.<\/p>\r\n\r\n<\/div>\r\n<\/div>\r\n<div id=\"id8559734\" data-type=\"solution\" data-print-placement=\"end\">\r\n\r\nThe value 12.3 may be an outlier. Values appear to concentrate at three and four kilometers.\r\n<table id=\"element-533\" summary=\"This is a Stem-Leaf graph with stems 1, 2, 3, 4, 5, 6, 12 and leaves to the right of the decimal point.\">\r\n<thead>\r\n<tr>\r\n<th>Stem<\/th>\r\n<th>Leaf<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>1<\/td>\r\n<td>1\u00a0 5<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>2<\/td>\r\n<td>3\u00a0 5\u00a0 7<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>3<\/td>\r\n<td>2\u00a0 3\u00a0 3\u00a0 5\u00a0 8<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>4<\/td>\r\n<td>0\u00a0 2\u00a0 5\u00a0 5\u00a0 7\u00a0 8<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>5<\/td>\r\n<td>5\u00a0 6<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>6<\/td>\r\n<td>5\u00a0 7<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>7<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>8<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>9<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>10<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>11<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>12<\/td>\r\n<td>3<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<div id=\"fs-idp4001472\" class=\"statistics try\" data-type=\"note\" data-has-label=\"true\" data-label=\"\">\r\n<div data-type=\"title\">Try It<\/div>\r\n<div id=\"fs-idm40603312\" data-type=\"exercise\">\r\n<div id=\"fs-idm28790944\" data-type=\"problem\">\r\n<p id=\"fs-idp73770272\">The following data show the distances (in miles) from the homes of off-campus statistics students to the college. Create a stem plot using the data and identify any outliers:<\/p>\r\n<p id=\"fs-idp20460656\">0.5;\u00a0 0.7;\u00a0 1.1;\u00a0 1.2;\u00a0 1.2;\u00a0 1.3;\u00a0 1.3;\u00a0 1.5;\u00a0 1.5;\u00a0 1.7;\u00a0 1.7;\u00a0 1.8;\u00a0 1.9;\u00a0 2.0;\u00a0 2.2;\u00a0 2.5;\u00a0 2.6;\u00a0 2.8;\u00a0 2.8;\u00a0 2.8;\u00a0 3.5;\u00a0 3.8;\u00a0 4.4;\u00a0 4.8;\u00a0 4.9;\u00a0 5.2;\u00a0 5.5;\u00a0 5.7;\u00a0 5.8;\u00a0 8.0<\/p>\r\n\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<div id=\"fs-idp11879648\" class=\"textbox textbox--examples\" data-type=\"example\">\r\n<div id=\"fs-idp161531440\" data-type=\"exercise\">\r\n<div id=\"fs-idp99219856\" data-type=\"problem\">\r\n<p id=\"fs-idp93832256\">A <strong>side-by-side stem-and-leaf plot<\/strong> allows a comparison of the two data sets in two columns. In a side-by-side stem-and-leaf plot, two sets of leaves share the same stem. The leaves are to the left and the right of the stems. <a class=\"autogenerated-content\" href=\"#M01_Ch02_tbl005\">(Figure)<\/a> and <a class=\"autogenerated-content\" href=\"#M01_Ch02_tbl006\">(Figure)<\/a> show the ages of presidents at their inauguration and at their death. Construct a side-by-side stem-and-leaf plot using this data.<\/p>\r\n\r\n<\/div>\r\n<div id=\"fs-idp107817952\" data-type=\"solution\">\r\n<table id=\"M01_Ch02_tbl007\" summary=\"---\"><colgroup> <col data-align=\"right\" \/> <col data-align=\"center\" \/> <col data-align=\"left\" \/><\/colgroup>\r\n<thead>\r\n<tr>\r\n<th>Ages at Inauguration<\/th>\r\n<th><\/th>\r\n<th>Ages at Death<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>9\u00a0 9\u00a0 8\u00a0 7\u00a0 7\u00a0 7\u00a0 6\u00a0 3\u00a0 2<\/td>\r\n<td>4<\/td>\r\n<td>6\u00a0 9<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>8\u00a0 7\u00a0 7\u00a0 7\u00a0 7\u00a0 6\u00a0 6\u00a0 6\u00a0 5\u00a0 5\u00a0 5\u00a0 5\u00a0 4\u00a0 4\u00a0 4\u00a0 4\u00a0 4\u00a0 2\u00a0 2\u00a0 1\u00a0 1\u00a0 1\u00a0 1\u00a0 1\u00a0 0<\/td>\r\n<td>5<\/td>\r\n<td>3\u00a0 6\u00a0 6\u00a0 7\u00a0 7\u00a0 8<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>9\u00a0 8\u00a0 5\u00a0 4\u00a0 4\u00a0 2\u00a0 1\u00a0 1\u00a0 1\u00a0 0<\/td>\r\n<td>6<\/td>\r\n<td>0\u00a0 0\u00a0 3\u00a0 3\u00a0 4\u00a0 4\u00a0 5\u00a0 6\u00a0 7\u00a0 7\u00a0 7\u00a0 8<\/td>\r\n<\/tr>\r\n<tr>\r\n<td><\/td>\r\n<td>7<\/td>\r\n<td>0\u00a0 0\u00a0 1\u00a0 1\u00a0 1\u00a0 4\u00a0 7\u00a0 8\u00a0 8\u00a0 9<\/td>\r\n<\/tr>\r\n<tr>\r\n<td><\/td>\r\n<td>8<\/td>\r\n<td>0\u00a0 1\u00a0 3\u00a0 5\u00a0 8<\/td>\r\n<\/tr>\r\n<tr>\r\n<td><\/td>\r\n<td>9<\/td>\r\n<td>0\u00a0 0\u00a0 3\u00a0 3<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<\/div>\r\n<table id=\"M01_Ch02_tbl005\" summary=\"\"><caption><span data-type=\"title\">Presidential Ages at Inauguration<\/span><\/caption>\r\n<thead>\r\n<tr>\r\n<th>President<\/th>\r\n<th>Age<\/th>\r\n<th>President<\/th>\r\n<th>Age<\/th>\r\n<th>President<\/th>\r\n<th>Age<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>Washington<\/td>\r\n<td>57<\/td>\r\n<td>Lincoln<\/td>\r\n<td>52<\/td>\r\n<td>Hoover<\/td>\r\n<td>54<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>J. Adams<\/td>\r\n<td>61<\/td>\r\n<td>A. Johnson<\/td>\r\n<td>56<\/td>\r\n<td>F. Roosevelt<\/td>\r\n<td>51<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Jefferson<\/td>\r\n<td>57<\/td>\r\n<td>Grant<\/td>\r\n<td>46<\/td>\r\n<td>Truman<\/td>\r\n<td>60<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Madison<\/td>\r\n<td>57<\/td>\r\n<td>Hayes<\/td>\r\n<td>54<\/td>\r\n<td>Eisenhower<\/td>\r\n<td>62<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Monroe<\/td>\r\n<td>58<\/td>\r\n<td>Garfield<\/td>\r\n<td>49<\/td>\r\n<td>Kennedy<\/td>\r\n<td>43<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>J. Q. Adams<\/td>\r\n<td>57<\/td>\r\n<td>Arthur<\/td>\r\n<td>51<\/td>\r\n<td>L. Johnson<\/td>\r\n<td>55<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Jackson<\/td>\r\n<td>61<\/td>\r\n<td>Cleveland<\/td>\r\n<td>47<\/td>\r\n<td>Nixon<\/td>\r\n<td>56<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Van Buren<\/td>\r\n<td>54<\/td>\r\n<td>B. Harrison<\/td>\r\n<td>55<\/td>\r\n<td>Ford<\/td>\r\n<td>61<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>W. H. Harrison<\/td>\r\n<td>68<\/td>\r\n<td>Cleveland<\/td>\r\n<td>55<\/td>\r\n<td>Carter<\/td>\r\n<td>52<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Tyler<\/td>\r\n<td>51<\/td>\r\n<td>McKinley<\/td>\r\n<td>54<\/td>\r\n<td>Reagan<\/td>\r\n<td>69<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Polk<\/td>\r\n<td>49<\/td>\r\n<td>T. Roosevelt<\/td>\r\n<td>42<\/td>\r\n<td>G.H.W. Bush<\/td>\r\n<td>64<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Taylor<\/td>\r\n<td>64<\/td>\r\n<td>Taft<\/td>\r\n<td>51<\/td>\r\n<td>Clinton<\/td>\r\n<td>47<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Fillmore<\/td>\r\n<td>50<\/td>\r\n<td>Wilson<\/td>\r\n<td>56<\/td>\r\n<td>G. W. Bush<\/td>\r\n<td>54<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Pierce<\/td>\r\n<td>48<\/td>\r\n<td>Harding<\/td>\r\n<td>55<\/td>\r\n<td>Obama<\/td>\r\n<td>47<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Buchanan<\/td>\r\n<td>65<\/td>\r\n<td>Coolidge<\/td>\r\n<td>51<\/td>\r\n<td><\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<table id=\"M01_Ch02_tbl006\" summary=\"\"><caption><span data-type=\"title\">Presidential Age at Death<\/span><\/caption>\r\n<thead>\r\n<tr>\r\n<th>President<\/th>\r\n<th>Age<\/th>\r\n<th>President<\/th>\r\n<th>Age<\/th>\r\n<th>President<\/th>\r\n<th>Age<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>Washington<\/td>\r\n<td>67<\/td>\r\n<td>Lincoln<\/td>\r\n<td>56<\/td>\r\n<td>Hoover<\/td>\r\n<td>90<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>J. Adams<\/td>\r\n<td>90<\/td>\r\n<td>A. Johnson<\/td>\r\n<td>66<\/td>\r\n<td>F. Roosevelt<\/td>\r\n<td>63<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Jefferson<\/td>\r\n<td>83<\/td>\r\n<td>Grant<\/td>\r\n<td>63<\/td>\r\n<td>Truman<\/td>\r\n<td>88<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Madison<\/td>\r\n<td>85<\/td>\r\n<td>Hayes<\/td>\r\n<td>70<\/td>\r\n<td>Eisenhower<\/td>\r\n<td>78<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Monroe<\/td>\r\n<td>73<\/td>\r\n<td>Garfield<\/td>\r\n<td>49<\/td>\r\n<td>Kennedy<\/td>\r\n<td>46<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>J. Q. Adams<\/td>\r\n<td>80<\/td>\r\n<td>Arthur<\/td>\r\n<td>56<\/td>\r\n<td>L. Johnson<\/td>\r\n<td>64<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Jackson<\/td>\r\n<td>78<\/td>\r\n<td>Cleveland<\/td>\r\n<td>71<\/td>\r\n<td>Nixon<\/td>\r\n<td>81<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Van Buren<\/td>\r\n<td>79<\/td>\r\n<td>B. Harrison<\/td>\r\n<td>67<\/td>\r\n<td>Ford<\/td>\r\n<td>93<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>W. H. Harrison<\/td>\r\n<td>68<\/td>\r\n<td>Cleveland<\/td>\r\n<td>71<\/td>\r\n<td>Reagan<\/td>\r\n<td>93<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Tyler<\/td>\r\n<td>71<\/td>\r\n<td>McKinley<\/td>\r\n<td>58<\/td>\r\n<td><\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Polk<\/td>\r\n<td>53<\/td>\r\n<td>T. Roosevelt<\/td>\r\n<td>60<\/td>\r\n<td><\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Taylor<\/td>\r\n<td>65<\/td>\r\n<td>Taft<\/td>\r\n<td>72<\/td>\r\n<td><\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Fillmore<\/td>\r\n<td>74<\/td>\r\n<td>Wilson<\/td>\r\n<td>67<\/td>\r\n<td><\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Pierce<\/td>\r\n<td>64<\/td>\r\n<td>Harding<\/td>\r\n<td>57<\/td>\r\n<td><\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Buchanan<\/td>\r\n<td>77<\/td>\r\n<td>Coolidge<\/td>\r\n<td>60<\/td>\r\n<td><\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<div id=\"fs-idp9770768\" class=\"statistics try\" data-type=\"note\" data-has-label=\"true\" data-label=\"\">\r\n<div id=\"fs-idp35107968\" data-type=\"exercise\">\r\n<div id=\"fs-idm2063072\" data-type=\"problem\">\r\n<p id=\"fs-idm4586448\">The table shows the number of wins and losses the Atlanta Hawks have had in 42 seasons. Create a side-by-side stem-and-leaf plot of these wins and losses.<\/p>\r\n\r\n<table id=\"fs-idm25873440\" summary=\"..\"><caption>\u00a0<\/caption>\r\n<thead>\r\n<tr>\r\n<th>Losses<\/th>\r\n<th>Wins<\/th>\r\n<th>Year<\/th>\r\n<th>Losses<\/th>\r\n<th>Wins<\/th>\r\n<th>Year<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>34<\/td>\r\n<td>48<\/td>\r\n<td>1968\u20131969<\/td>\r\n<td>41<\/td>\r\n<td>41<\/td>\r\n<td>1989\u20131990<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>34<\/td>\r\n<td>48<\/td>\r\n<td>1969\u20131970<\/td>\r\n<td>39<\/td>\r\n<td>43<\/td>\r\n<td>1990\u20131991<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>46<\/td>\r\n<td>36<\/td>\r\n<td>1970\u20131971<\/td>\r\n<td>44<\/td>\r\n<td>38<\/td>\r\n<td>1991\u20131992<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>46<\/td>\r\n<td>36<\/td>\r\n<td>1971\u20131972<\/td>\r\n<td>39<\/td>\r\n<td>43<\/td>\r\n<td>1992\u20131993<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>36<\/td>\r\n<td>46<\/td>\r\n<td>1972\u20131973<\/td>\r\n<td>25<\/td>\r\n<td>57<\/td>\r\n<td>1993\u20131994<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>47<\/td>\r\n<td>35<\/td>\r\n<td>1973\u20131974<\/td>\r\n<td>40<\/td>\r\n<td>42<\/td>\r\n<td>1994\u20131995<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>51<\/td>\r\n<td>31<\/td>\r\n<td>1974\u20131975<\/td>\r\n<td>36<\/td>\r\n<td>46<\/td>\r\n<td>1995\u20131996<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>53<\/td>\r\n<td>29<\/td>\r\n<td>1975\u20131976<\/td>\r\n<td>26<\/td>\r\n<td>56<\/td>\r\n<td>1996\u20131997<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>51<\/td>\r\n<td>31<\/td>\r\n<td>1976\u20131977<\/td>\r\n<td>32<\/td>\r\n<td>50<\/td>\r\n<td>1997\u20131998<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>41<\/td>\r\n<td>41<\/td>\r\n<td>1977\u20131978<\/td>\r\n<td>19<\/td>\r\n<td>31<\/td>\r\n<td>1998\u20131999<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>36<\/td>\r\n<td>46<\/td>\r\n<td>1978\u20131979<\/td>\r\n<td>54<\/td>\r\n<td>28<\/td>\r\n<td>1999\u20132000<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>32<\/td>\r\n<td>50<\/td>\r\n<td>1979\u20131980<\/td>\r\n<td>57<\/td>\r\n<td>25<\/td>\r\n<td>2000\u20132001<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>51<\/td>\r\n<td>31<\/td>\r\n<td>1980\u20131981<\/td>\r\n<td>49<\/td>\r\n<td>33<\/td>\r\n<td>2001\u20132002<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>40<\/td>\r\n<td>42<\/td>\r\n<td>1981\u20131982<\/td>\r\n<td>47<\/td>\r\n<td>35<\/td>\r\n<td>2002\u20132003<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>39<\/td>\r\n<td>43<\/td>\r\n<td>1982\u20131983<\/td>\r\n<td>54<\/td>\r\n<td>28<\/td>\r\n<td>2003\u20132004<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>42<\/td>\r\n<td>40<\/td>\r\n<td>1983\u20131984<\/td>\r\n<td>69<\/td>\r\n<td>13<\/td>\r\n<td>2004\u20132005<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>48<\/td>\r\n<td>34<\/td>\r\n<td>1984\u20131985<\/td>\r\n<td>56<\/td>\r\n<td>26<\/td>\r\n<td>2005\u20132006<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>32<\/td>\r\n<td>50<\/td>\r\n<td>1985\u20131986<\/td>\r\n<td>52<\/td>\r\n<td>30<\/td>\r\n<td>2006\u20132007<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>25<\/td>\r\n<td>57<\/td>\r\n<td>1986\u20131987<\/td>\r\n<td>45<\/td>\r\n<td>37<\/td>\r\n<td>2007\u20132008<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>32<\/td>\r\n<td>50<\/td>\r\n<td>1987\u20131988<\/td>\r\n<td>35<\/td>\r\n<td>47<\/td>\r\n<td>2008\u20132009<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>30<\/td>\r\n<td>52<\/td>\r\n<td>1988\u20131989<\/td>\r\n<td>29<\/td>\r\n<td>53<\/td>\r\n<td>2009\u20132010<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<div id=\"fs-idm21451296\" class=\"footnotes\" data-depth=\"1\">\r\n<h3 data-type=\"title\">References<\/h3>\r\n<p id=\"fs-idm29098416\">Burbary, Ken. <em data-effect=\"italics\">Facebook Demographics Revisited \u2013 2001 Statistics,<\/em> 2011. Available online at http:\/\/www.kenburbary.com\/2011\/03\/facebook-demographics-revisited-2011-statistics-2\/ (accessed August 21, 2013).<\/p>\r\n<p id=\"fs-idm29098160\">\u201c9th Annual AP Report to the Nation.\u201d CollegeBoard, 2013. Available online at http:\/\/apreport.collegeboard.org\/goals-and-findings\/promoting-equity (accessed September 13, 2013).<\/p>\r\n<p id=\"fs-idp130237744\">\u201cOverweight and Obesity: Adult Obesity Facts.\u201d Centers for Disease Control and Prevention. Available online at http:\/\/www.cdc.gov\/obesity\/data\/adult.html (accessed September 13, 2013).<\/p>\r\n\r\n<\/div>\r\n<div id=\"fs-idp18706816\" class=\"summary\" data-depth=\"1\">\r\n<h3 data-type=\"title\">Chapter Review<\/h3>\r\n<p id=\"fs-idp5119792\">A <strong>bar graph<\/strong> is a chart that uses either horizontal or vertical bars to show comparisons among categories. One axis of the chart shows the specific categories being compared, and the other axis represents a discrete value. Some bar graphs present bars clustered in groups of more than one (grouped bar graphs), and others show the bars divided into subparts to show cumulative effect (stacked bar graphs). Bar graphs are especially useful when categorical data is being used. A <strong>histogram<\/strong> is a graphic version of a frequency distribution. The graph consists of bars of equal width drawn adjacent to each other. The horizontal scale represents classes of quantitative data values and the vertical scale represents frequencies. The heights of the bars correspond to frequency values. Histograms are typically used for large, continuous, quantitative data sets. A <strong>stem-and-leaf plot<\/strong> is a way to plot data and look at the distribution. In a stem-and-leaf plot, all data values within a class are visible. The advantage in a stem-and-leaf plot is that all values are listed, unlike a histogram, which gives classes of data values.<\/p>\r\n\r\n<\/div>\r\n<div id=\"fs-idp51353072\" class=\"practice\" data-depth=\"1\">\r\n<h3 data-type=\"title\"><em data-effect=\"italics\">For each of the following data sets, create a stem plot and identify any outliers.<\/em>The miles per gallon rating for 30 cars are shown below (lowest to highest). <span data-type=\"newline\">\r\n<\/span>19,\u00a0 19,\u00a0 19,\u00a0 20,\u00a0 21,\u00a0 21,\u00a0 25,\u00a0 25,\u00a0 25,\u00a0 26,\u00a0 26,\u00a0 28,\u00a0 29,\u00a0 31,\u00a0 31,\u00a0 32,\u00a0 32,\u00a0 33,\u00a0 34,\u00a0 35,\u00a0 36,\u00a0 37,\u00a0 37,\u00a0 38,\u00a0 38,\u00a0 38,\u00a0 38,\u00a0 41,\u00a0 43,\u00a0 43<\/h3>\r\n<\/div>\r\n<div id=\"fs-idm37847504\" data-type=\"solution\">\r\n<table id=\"fs-idp96212464\" summary=\"The miles per gallon rating for 30 cars\"><colgroup> <col data-align=\"center\" \/> <col data-align=\"left\" \/><\/colgroup>\r\n<thead>\r\n<tr>\r\n<th>Stem<\/th>\r\n<th data-align=\"center\">Leaf<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>1<\/td>\r\n<td>9\u00a0 9\u00a0 9<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>2<\/td>\r\n<td>0\u00a0 1\u00a0 1\u00a0 5\u00a0 5\u00a0 5\u00a0 6\u00a0 6\u00a0 8\u00a0 9<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>3<\/td>\r\n<td>1\u00a0 1\u00a0 2\u00a0 2\u00a0 3\u00a0 4\u00a0 5\u00a0 6\u00a0 7\u00a0 7\u00a0 8\u00a0 8\u00a0 8\u00a0 8<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>4<\/td>\r\n<td>1\u00a0 3\u00a0 3<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<div id=\"fs-idp69585968\" data-type=\"exercise\">\r\n<div id=\"fs-idp5781504\" data-type=\"problem\">\r\n<p id=\"fs-idp7036560\">The height in feet of 25 trees is shown below (lowest to highest). <span data-type=\"newline\">\r\n<\/span>25,\u00a0 27,\u00a0 33,\u00a0 34,\u00a0 34,\u00a0 34,\u00a0 35,\u00a0 37,\u00a0 37,\u00a0 38,\u00a0 39,\u00a0 39,\u00a0 39,\u00a0 40,\u00a0 41,\u00a0 45,\u00a0 46,\u00a0 47,\u00a0 49,\u00a0 50,\u00a0 50,\u00a0 53,\u00a0 53,\u00a0 54,\u00a0 54<\/p>\r\n\r\n<\/div>\r\n<\/div>\r\n<div id=\"exercise8\" data-type=\"exercise\">\r\n<div id=\"fs-idp105863648\" data-type=\"problem\">\r\n<p id=\"fs-idp8584400\">The data are the prices of different laptops at an electronics store. Round each value to the nearest ten. <span data-type=\"newline\">\r\n<\/span>249,\u00a0 249,\u00a0 260,\u00a0 265,\u00a0 265,\u00a0 280,\u00a0 299,\u00a0 299,\u00a0 309,\u00a0 319,\u00a0 325,\u00a0 326,\u00a0 350,\u00a0 350,\u00a0 350,\u00a0 365,\u00a0 369,\u00a0 389,\u00a0 409,\u00a0 459,\u00a0 489,\u00a0 559,\u00a0 569,\u00a0 570,\u00a0 610<\/p>\r\n\r\n<\/div>\r\n<div id=\"fs-idp114380816\" data-type=\"solution\">\r\n<table id=\"M01_Ch02_tbl016\" summary=\"The data are the prices of different laptops at an electronics store.\"><colgroup> <col data-align=\"center\" \/> <col data-align=\"left\" \/><\/colgroup>\r\n<thead>\r\n<tr>\r\n<th>Stem<\/th>\r\n<th data-align=\"center\">Leaf<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>2<\/td>\r\n<td>5\u00a0 5\u00a0 6\u00a0 7\u00a0 7\u00a0 8<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>3<\/td>\r\n<td>0\u00a0 0\u00a0 1\u00a0 2\u00a0 3\u00a0 3\u00a0 5\u00a0 5\u00a0 5\u00a0 7\u00a0 7\u00a0 9<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>4<\/td>\r\n<td>1\u00a0 6\u00a0 9<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>5<\/td>\r\n<td>6\u00a0 7\u00a0 7<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>6<\/td>\r\n<td>1<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<\/div>\r\n<div id=\"fs-idp48193248\" data-type=\"exercise\">\r\n<div id=\"fs-idp71330208\" data-type=\"problem\">\r\n<p id=\"fs-idp71330464\">The data are daily high temperatures in a town for one month. <span data-type=\"newline\">\r\n<\/span>61,\u00a0 61,\u00a0 62,\u00a0 64,\u00a0 66,\u00a0 67,\u00a0 67,\u00a0 67,\u00a0 68,\u00a0 69,\u00a0 70,\u00a0 70,\u00a0 70,\u00a0 71,\u00a0 71,\u00a0 72,\u00a0 74,\u00a0 74,\u00a0 74,\u00a0 75,\u00a0 75,\u00a0 75,\u00a0 76,\u00a0 76,\u00a0 77,\u00a0 78,\u00a0 78,\u00a0 79,\u00a0 79,\u00a0 95<\/p>\r\n\r\n<\/div>\r\n<\/div>\r\n<div id=\"fs-idp113295424\" data-type=\"exercise\">\r\n<div id=\"fs-idp47635040\" data-type=\"solution\">\r\n<div id=\"fs-idp29124208\" class=\"bc-figure figure\"><\/div>\r\n<\/div>\r\n<\/div>\r\n<div id=\"fs-idp11360192\" data-type=\"exercise\">\r\n<div id=\"fs-idp6234528\" data-type=\"problem\"><\/div>\r\n<\/div>\r\n<div id=\"fs-idp113509472\" data-type=\"exercise\">\r\n<div id=\"fs-idp49973120\" data-type=\"solution\">\r\n<div id=\"fs-idm11163840\" class=\"bc-figure figure\"><span style=\"text-align: initial;font-size: 1em\">The students in Ms. Ramirez\u2019s math class have birthdays in each of the four seasons. <\/span><a class=\"autogenerated-content\" style=\"text-align: initial;font-size: 1em\" href=\"#M01_Ch02_tbl021\">(Figure)<\/a><span style=\"text-align: initial;font-size: 1em\"> shows the four seasons, the number of students who have birthdays in each season, and the percentage (%) of students in each group. Construct a bar graph showing the number of students.<\/span><\/div>\r\n<\/div>\r\n<\/div>\r\n<div id=\"exercise13\" data-type=\"exercise\">\r\n<div id=\"fs-idp84353344\" data-type=\"problem\">\r\n<table id=\"M01_Ch02_tbl021\" summary=\"\"><colgroup> <col data-align=\"center\" \/> <col \/> <col \/><\/colgroup>\r\n<thead>\r\n<tr>\r\n<th>Seasons<\/th>\r\n<th data-align=\"center\">Number of students<\/th>\r\n<th data-align=\"center\">Proportion of population<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>Spring<\/td>\r\n<td>8<\/td>\r\n<td>24%<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Summer<\/td>\r\n<td>9<\/td>\r\n<td>26%<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Autumn<\/td>\r\n<td>11<\/td>\r\n<td>32%<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Winter<\/td>\r\n<td>6<\/td>\r\n<td>18%<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<\/div>\r\n<div id=\"fs-idp114173136\" data-type=\"exercise\">\r\n<div id=\"fs-idp114173392\" data-type=\"problem\">\r\n<p id=\"fs-idp114173520\">Using the data from Mrs. Ramirez\u2019s math class supplied in <a class=\"autogenerated-content\" href=\"#exercise13\">(Figure)<\/a>, construct a bar graph showing the percentages.<\/p>\r\n\r\n<\/div>\r\n<div id=\"fs-idp107574416\" data-type=\"solution\">\r\n<div id=\"fs-idp48344576\" class=\"bc-figure figure\"><span id=\"fs-idp74133360\" data-type=\"media\" data-display=\"block\" data-alt=\"This is a bar graph that matches the supplied data. The x-axis shows the seasons of the year, and the y-axis shows the proportion of birthdays.\"><img src=\"https:\/\/pressbooks.ccconline.org\/acccomposition1\/wp-content\/uploads\/sites\/83\/2022\/08\/CNX_Stats_C02_M03_009-1.jpg\" alt=\"This is a bar graph that matches the supplied data. The x-axis shows the seasons of the year, and the y-axis shows the proportion of birthdays.\" width=\"350\" data-media-type=\"image\/jpg\" \/><\/span><\/div>\r\n<\/div>\r\n<\/div>\r\n<div id=\"exercise10\" data-type=\"exercise\">\r\n<div id=\"fs-idm2655872\" data-type=\"problem\">\r\n<p id=\"fs-idp32116368\">David County has six high schools. Each school sent students to participate in a county-wide science competition. <a class=\"autogenerated-content\" href=\"#M01_Ch02_tbl022\">(Figure)<\/a> shows the percentage breakdown of competitors from each school, and the percentage of the entire student population of the county that goes to each school. Construct a bar graph that shows the population percentage of competitors from each school.<\/p>\r\n\r\n<table id=\"M01_Ch02_tbl022\" summary=\"\"><colgroup> <col data-align=\"center\" \/> <col data-align=\"left\" \/> <col data-align=\"left\" \/><\/colgroup>\r\n<thead>\r\n<tr>\r\n<th>High School<\/th>\r\n<th data-align=\"center\">Science competition population<\/th>\r\n<th data-align=\"center\">Overall student population<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>Alabaster<\/td>\r\n<td>28.9%<\/td>\r\n<td>8.6%<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Concordia<\/td>\r\n<td>7.6%<\/td>\r\n<td>23.2%<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Genoa<\/td>\r\n<td>12.1%<\/td>\r\n<td>15.0%<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Mocksville<\/td>\r\n<td>18.5%<\/td>\r\n<td>14.3%<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Tynneson<\/td>\r\n<td>24.2%<\/td>\r\n<td>10.1%<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>West End<\/td>\r\n<td>8.7%<\/td>\r\n<td>28.8%<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<\/div>\r\n<div id=\"fs-idp107146752\" data-type=\"exercise\">\r\n<div id=\"fs-idp107568048\" data-type=\"problem\">\r\n<p id=\"fs-idp107568176\">Use the data from the David County science competition supplied in <a class=\"autogenerated-content\" href=\"#exercise10\">(Figure)<\/a>. Construct a bar graph that shows the county-wide population percentage of students at each school.<\/p>\r\n\r\n<\/div>\r\n<div id=\"fs-idp4118704\" data-type=\"solution\">\r\n<div id=\"fs-idp86744448\" class=\"bc-figure figure\"><span id=\"fs-idp112012640\" data-type=\"media\" data-display=\"block\" data-alt=\"This is a bar graph that matches the supplied data. The x-axis shows the county high schools, and the y-axis shows the proportion of county students.\"><img src=\"https:\/\/pressbooks.ccconline.org\/acccomposition1\/wp-content\/uploads\/sites\/83\/2022\/08\/CNX_Stats_C02_M03_011-1.jpg\" alt=\"This is a bar graph that matches the supplied data. The x-axis shows the county high schools, and the y-axis shows the proportion of county students.\" width=\"420\" data-media-type=\"image\/jpg\" \/><\/span><\/div>\r\n<\/div>\r\n<\/div>\r\n<div id=\"fs-idp103158432\" class=\"free-response\" data-depth=\"1\">\r\n<div id=\"fs-idm3046592\" class=\"practice\" data-depth=\"1\">\r\n<div id=\"eip-341\" data-type=\"exercise\">\r\n<div id=\"fs-idp82639856\" data-type=\"problem\">\r\n<p id=\"fs-idp82640112\">Sixty-five randomly selected car salespersons were asked the number of cars they generally sell in one week. Fourteen people answered that they generally sell three cars; nineteen generally sell four cars; twelve generally sell five cars; nine generally sell six cars; eleven generally sell seven cars. Complete the table.<\/p>\r\n\r\n<table id=\"table001\" summary=\"Blank table where data can be reported with the first column designated for the data value, or number of cars, the second column for frequency, the third column for relative frequency, and the fourth column for cumulative frequency.\">\r\n<thead>\r\n<tr>\r\n<th>Data Value (# cars)<\/th>\r\n<th>Frequency<\/th>\r\n<th>Relative Frequency<\/th>\r\n<th>Cumulative Relative Frequency<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td><\/td>\r\n<td><\/td>\r\n<td><\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td><\/td>\r\n<td><\/td>\r\n<td><\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td><\/td>\r\n<td><\/td>\r\n<td><\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td><\/td>\r\n<td><\/td>\r\n<td><\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td><\/td>\r\n<td><\/td>\r\n<td><\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<\/div>\r\n<div id=\"element-625\" data-type=\"exercise\">\r\n<div id=\"id9456620\" data-type=\"problem\">\r\n\r\nWhat does the frequency column in <a class=\"autogenerated-content\" href=\"#table001\">(Figure)<\/a> sum to? Why?\r\n\r\n<\/div>\r\n<div id=\"id6523440\" data-type=\"solution\">\r\n<p id=\"element-943\">65<\/p>\r\n\r\n<\/div>\r\n<\/div>\r\n<div data-type=\"exercise\">\r\n<div id=\"id6442302\" data-type=\"problem\">\r\n\r\nWhat does the relative frequency column in <a class=\"autogenerated-content\" href=\"#table001\">(Figure)<\/a> sum to? Why?\r\n\r\n<\/div>\r\n<\/div>\r\n<div data-type=\"exercise\">\r\n<div id=\"id17920864\" data-type=\"problem\">\r\n\r\nWhat is the difference between relative frequency and frequency for each data value in <a class=\"autogenerated-content\" href=\"#table001\">(Figure)<\/a>?\r\n\r\n<\/div>\r\n<div id=\"eip-idm45288784\" data-type=\"solution\">\r\n<p id=\"eip-idm45288528\">The relative frequency shows the <em data-effect=\"italics\">proportion<\/em> of data points that have each value. The frequency tells the <em data-effect=\"italics\">number<\/em> of data points that have each value.<\/p>\r\n\r\n<\/div>\r\n<\/div>\r\n<div data-type=\"exercise\">\r\n<div id=\"id11564922\" data-type=\"problem\">\r\n\r\nWhat is the difference between cumulative relative frequency and relative frequency for each data value?\r\n\r\n<\/div>\r\n<\/div>\r\n<div id=\"fs-idp48667136\" data-type=\"exercise\">\r\n<div id=\"fs-idp71409056\" data-type=\"problem\">\r\n<p id=\"element-936\">To construct the histogram for the data in <a class=\"autogenerated-content\" href=\"#table001\">(Figure)<\/a>, determine the appropriate minimum and maximum <em data-effect=\"italics\">x<\/em> and <em data-effect=\"italics\">y<\/em> values and the scaling. Sketch the histogram. Label the horizontal and vertical axes with words. Include numerical scaling.<\/p>\r\n\r\n<div id=\"eip-idp57691072\" class=\"bc-figure figure\"><span id=\"id9045474\" data-type=\"media\" data-alt=\"An empty graph template for use with this question.\" data-display=\"block\"><img src=\"https:\/\/pressbooks.ccconline.org\/acccomposition1\/wp-content\/uploads\/sites\/83\/2022\/08\/fig-ch02_11_01-1.jpg\" alt=\"An empty graph template for use with this question.\" width=\"350\" data-media-type=\"image\/jpg\" \/><\/span><\/div>\r\n<\/div>\r\n<div id=\"fs-idm9409296\" data-type=\"solution\">\r\n<p id=\"fs-idp4677968\">Answers will vary. One possible histogram is shown:<\/p>\r\n\r\n<div id=\"eip-idp746160\" class=\"bc-figure figure\"><span id=\"eip-idp746416\" data-type=\"media\" data-alt=\"\"><img src=\"https:\/\/pressbooks.ccconline.org\/acccomposition1\/wp-content\/uploads\/sites\/83\/2022\/08\/CNX_Stats_C02_M03_101-1.jpg\" alt=\"\" width=\"380\" data-media-type=\"image\/png\" \/><\/span><\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<div id=\"fs-idp52790224\" class=\"free-response\" data-depth=\"1\">\r\n<h3 data-type=\"title\">Homework<\/h3>\r\n<div id=\"eip-457\" data-type=\"exercise\">\r\n<div id=\"fs-idp16459264\" data-type=\"problem\">\r\n<p id=\"fs-idp16459520\">1) Often, cruise ships conduct all on-board transactions, with the exception of gambling, on a cashless basis. At the end of the cruise, guests pay one bill that covers all onboard transactions. Suppose that 60 single travelers and 70 couples were surveyed as to their on-board bills for a seven-day cruise from Los Angeles to the Mexican Riviera. Following is a summary of the bills for each group.<\/p>\r\n\r\n<table id=\"fs-idp40233520\" summary=\"This table presents the amount of cruise bills by guest type. The first table is for singles with the first column listing the bill amount, the second column listing the frequency, and the third column labeled for relative frequency which is blank.\"><caption><span data-type=\"title\">Singles<\/span><\/caption>\r\n<thead>\r\n<tr>\r\n<th>Amount(\\$)<\/th>\r\n<th>Frequency<\/th>\r\n<th>Rel. Frequency<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>51\u2013100<\/td>\r\n<td>5<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>101\u2013150<\/td>\r\n<td>10<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>151\u2013200<\/td>\r\n<td>15<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>201\u2013250<\/td>\r\n<td>15<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>251\u2013300<\/td>\r\n<td>10<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>301\u2013350<\/td>\r\n<td>5<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<table id=\"fs-idp2601840\" summary=\"The second table is for couples with the first column listing the bill amount, the second column listing the frequency, and the third column labeled for relative frequency which is blank.\"><caption><span data-type=\"title\">Couples<\/span><\/caption>\r\n<thead>\r\n<tr>\r\n<th>Amount(\\$)<\/th>\r\n<th>Frequency<\/th>\r\n<th>Rel. Frequency<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>100\u2013150<\/td>\r\n<td>5<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>201\u2013250<\/td>\r\n<td>5<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>251\u2013300<\/td>\r\n<td>5<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>301\u2013350<\/td>\r\n<td>5<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>351\u2013400<\/td>\r\n<td>10<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>401\u2013450<\/td>\r\n<td>10<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>451\u2013500<\/td>\r\n<td>10<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>501\u2013550<\/td>\r\n<td>10<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>551\u2013600<\/td>\r\n<td>5<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>601\u2013650<\/td>\r\n<td>5<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<ol id=\"fs-idm19738640\" type=\"a\">\r\n \t<li>Fill in the relative frequency for each group.<\/li>\r\n \t<li>Construct a histogram for the singles group. Scale the <em data-effect=\"italics\">x<\/em>-axis by \\$50 widths. Use relative frequency on the <em data-effect=\"italics\">y<\/em>-axis.<\/li>\r\n \t<li>Construct a histogram for the couples group. Scale the <em data-effect=\"italics\">x<\/em>-axis by \\$50 widths. Use relative frequency on the <em data-effect=\"italics\">y<\/em>-axis.<\/li>\r\n \t<li>Compare the two graphs:\r\n<ol id=\"nestlist8\" type=\"i\" data-mark-suffix=\".\">\r\n \t<li>List two similarities between the graphs.<\/li>\r\n \t<li>List two differences between the graphs.<\/li>\r\n \t<li>Overall, are the graphs more similar or different?<\/li>\r\n<\/ol>\r\n<\/li>\r\n \t<li>Construct a new graph for the couples by hand. Since each couple is paying for two individuals, instead of scaling the <em data-effect=\"italics\">x<\/em>-axis by \\$50, scale it by \\$100. Use relative frequency on the <em data-effect=\"italics\">y<\/em>-axis.<\/li>\r\n \t<li>Compare the graph for the singles with the new graph for the couples:\r\n<ol id=\"nestlist9\" type=\"i\" data-mark-suffix=\".\">\r\n \t<li>List two similarities between the graphs.<\/li>\r\n \t<li>Overall, are the graphs more similar or different?<\/li>\r\n<\/ol>\r\n<\/li>\r\n \t<li>How did scaling the couples graph differently change the way you compared it to the singles graph?<\/li>\r\n \t<li>Based on the graphs, do you think that individuals spend the same amount, more or less, as singles as they do person by person as a couple? Explain why in one or two complete sentences.<\/li>\r\n<\/ol>\r\n<\/div>\r\n<div id=\"fs-idp34240\" data-type=\"solution\">\r\n<p id=\"fs-idp71468496\">2) Suppose that three book publishers were interested in the number of fiction paperbacks adult consumers purchase per month. Each publisher conducted a survey. In the survey, adult consumers were asked the number of fiction paperbacks they had purchased the previous month. The results are as follows:<\/p>\r\n\r\n<table id=\"fs-idp71816400\" summary=\"The tables presents the number of books purchased by adults by three different publishers. Publisher A is the first table with number of books in the first column, from 0-8, frequency in the second column, and relative frequency in the third column which is blank.\"><caption><span data-type=\"title\">Publisher A<\/span><\/caption>\r\n<thead>\r\n<tr>\r\n<th># of books<\/th>\r\n<th>Freq.<\/th>\r\n<th>Rel. Freq.<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>0<\/td>\r\n<td>10<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>1<\/td>\r\n<td>12<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>2<\/td>\r\n<td>16<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>3<\/td>\r\n<td>12<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>4<\/td>\r\n<td>8<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>5<\/td>\r\n<td>6<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>6<\/td>\r\n<td>2<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>8<\/td>\r\n<td>2<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<table id=\"fs-idp43657824\" summary=\"Publisher B is the second table with number of books in the first column, from 0-5, 7, 9, frequency in the second column, and relative frequency in the third column which is blank.\"><caption><span data-type=\"title\">Publisher B<\/span><\/caption>\r\n<thead>\r\n<tr>\r\n<th># of books<\/th>\r\n<th>Freq.<\/th>\r\n<th>Rel. Freq.<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>0<\/td>\r\n<td>18<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>1<\/td>\r\n<td>24<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>2<\/td>\r\n<td>24<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>3<\/td>\r\n<td>22<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>4<\/td>\r\n<td>15<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>5<\/td>\r\n<td>10<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>7<\/td>\r\n<td>5<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>9<\/td>\r\n<td>1<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<table id=\"fs-idm93843856\" summary=\"Publisher C is the first table with number of books in the first column, 0-1, 2-3, 4-5, 6-7, 8-9, frequency in the second column, and relative frequency in the third column which is blank.\"><caption><span data-type=\"title\">Publisher C<\/span><\/caption>\r\n<thead>\r\n<tr>\r\n<th># of books<\/th>\r\n<th>Freq.<\/th>\r\n<th>Rel. Freq.<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>0\u20131<\/td>\r\n<td>20<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>2\u20133<\/td>\r\n<td>35<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>4\u20135<\/td>\r\n<td>12<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>6\u20137<\/td>\r\n<td>2<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>8\u20139<\/td>\r\n<td>1<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<ol type=\"a\" data-mark-suffix=\".\">\r\n \t<li>Find the relative frequencies for each survey. Write them in the charts.<\/li>\r\n \t<li>Using either a graphing calculator, computer, or by hand, use the frequency column to construct a histogram for each publisher's survey. For Publishers A and B, make bar widths of one. For Publisher C, make bar widths of two.<\/li>\r\n \t<li>In complete sentences, give two reasons why the graphs for Publishers A and B are not identical.<\/li>\r\n \t<li>Would you have expected the graph for Publisher C to look like the other two graphs? Why or why not?<\/li>\r\n \t<li>Make new histograms for Publisher A and Publisher B. This time, make bar widths of two.<\/li>\r\n \t<li>Now, compare the graph for Publisher C to the new graphs for Publishers A and B. Are the graphs more similar or more different? Explain your answer.<\/li>\r\n<\/ol>\r\n<\/div>\r\n<\/div>\r\n<div id=\"fs-idp73179824\" data-type=\"exercise\">\r\n<div id=\"fs-idp73180080\" data-type=\"problem\"><\/div>\r\n<div data-type=\"problem\"><\/div>\r\n<\/div>\r\n<p id=\"fs-idp72793344\"><em data-effect=\"italics\">3) Use the following information to answer the next two exercises:<\/em> Suppose one hundred eleven people who shopped in a special t-shirt store were asked the number of t-shirts they own costing more than \\$19 each.<\/p>\r\n<span id=\"fs-idp52038080\" data-type=\"media\" data-alt=\"A histogram showing the results of a survey. Of 111 respondents, 5 own 1 t-shirt costing more than \ud83d\udcb219, 17 own 2, 23 own 3, 39 own 4, 25 own 5, 2 own 6, and no respondents own 7.\" data-display=\"block\"><img src=\"https:\/\/pressbooks.ccconline.org\/acccomposition1\/wp-content\/uploads\/sites\/83\/2022\/08\/fig-ch02_13_11-1.jpg\" alt=\"A histogram showing the results of a survey. Of 111 respondents, 5 own 1 t-shirt costing more than \ud83d\udcb219, 17 own 2, 23 own 3, 39 own 4, 25 own 5, 2 own 6, and no respondents own 7.\" width=\"350\" data-media-type=\"image\/JPG\" \/><\/span>\r\n<div id=\"fs-idm24292288\" data-type=\"exercise\">\r\n<div id=\"fs-idm24292032\" data-type=\"problem\">\r\n<p id=\"fs-idp64025632\">The percentage of people who own at most three t-shirts costing more than \\$19 each is approximately:<\/p>\r\n\r\n<ol id=\"ni6\" type=\"a\">\r\n \t<li>21<\/li>\r\n \t<li>59<\/li>\r\n \t<li>41<\/li>\r\n \t<li>Cannot be determined<\/li>\r\n<\/ol>\r\n4)\u00a0 If the data were collected by asking the first 111 people who entered the store, then the type of sampling is:\r\n<ol id=\"ni7\" type=\"a\">\r\n \t<li>cluster<\/li>\r\n \t<li>simple random<\/li>\r\n \t<li>stratified<\/li>\r\n \t<li>convenience<\/li>\r\n<\/ol>\r\n<\/div>\r\n<div id=\"id6146639\" data-type=\"solution\"><\/div>\r\n<\/div>\r\n<div id=\"element-195\" data-type=\"exercise\">\r\n<div id=\"id3671758\" data-type=\"problem\"><\/div>\r\n<\/div>\r\n<div id=\"fs-idp13768528\" data-type=\"exercise\">\r\n<div id=\"fs-idm31496800\" data-type=\"problem\">\r\n<p id=\"fs-idm31496544\">5) Following are the 2010 obesity rates by U.S. states and Washington, DC.<\/p>\r\n\r\n<table id=\"Obesity_Rates_2008\" summary=\"The tables represents United States states and Obesity Rates. The first column and third columns list the names of the states and the second and fourth columns list Obesity Rates.\">\r\n<thead>\r\n<tr>\r\n<th>State<\/th>\r\n<th>Percent (%)<\/th>\r\n<th>State<\/th>\r\n<th>Percent (%)<\/th>\r\n<th>State<\/th>\r\n<th>Percent (%)<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>Alabama<\/td>\r\n<td>32.2<\/td>\r\n<td>Kentucky<\/td>\r\n<td>31.3<\/td>\r\n<td>North Dakota<\/td>\r\n<td>27.2<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Alaska<\/td>\r\n<td>24.5<\/td>\r\n<td>Louisiana<\/td>\r\n<td>31.0<\/td>\r\n<td>Ohio<\/td>\r\n<td>29.2<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Arizona<\/td>\r\n<td>24.3<\/td>\r\n<td>Maine<\/td>\r\n<td>26.8<\/td>\r\n<td>Oklahoma<\/td>\r\n<td>30.4<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Arkansas<\/td>\r\n<td>30.1<\/td>\r\n<td>Maryland<\/td>\r\n<td>27.1<\/td>\r\n<td>Oregon<\/td>\r\n<td>26.8<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>California<\/td>\r\n<td>24.0<\/td>\r\n<td>Massachusetts<\/td>\r\n<td>23.0<\/td>\r\n<td>Pennsylvania<\/td>\r\n<td>28.6<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Colorado<\/td>\r\n<td>21.0<\/td>\r\n<td>Michigan<\/td>\r\n<td>30.9<\/td>\r\n<td>Rhode Island<\/td>\r\n<td>25.5<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Connecticut<\/td>\r\n<td>22.5<\/td>\r\n<td>Minnesota<\/td>\r\n<td>24.8<\/td>\r\n<td>South Carolina<\/td>\r\n<td>31.5<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Delaware<\/td>\r\n<td>28.0<\/td>\r\n<td>Mississippi<\/td>\r\n<td>34.0<\/td>\r\n<td>South Dakota<\/td>\r\n<td>27.3<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Washington, DC<\/td>\r\n<td>22.2<\/td>\r\n<td>Missouri<\/td>\r\n<td>30.5<\/td>\r\n<td>Tennessee<\/td>\r\n<td>30.8<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Florida<\/td>\r\n<td>26.6<\/td>\r\n<td>Montana<\/td>\r\n<td>23.0<\/td>\r\n<td>Texas<\/td>\r\n<td>31.0<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Georgia<\/td>\r\n<td>29.6<\/td>\r\n<td>Nebraska<\/td>\r\n<td>26.9<\/td>\r\n<td>Utah<\/td>\r\n<td>22.5<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Hawaii<\/td>\r\n<td>22.7<\/td>\r\n<td>Nevada<\/td>\r\n<td>22.4<\/td>\r\n<td>Vermont<\/td>\r\n<td>23.2<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Idaho<\/td>\r\n<td>26.5<\/td>\r\n<td>New Hampshire<\/td>\r\n<td>25.0<\/td>\r\n<td>Virginia<\/td>\r\n<td>26.0<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Illinois<\/td>\r\n<td>28.2<\/td>\r\n<td>New Jersey<\/td>\r\n<td>23.8<\/td>\r\n<td>Washington<\/td>\r\n<td>25.5<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Indiana<\/td>\r\n<td>29.6<\/td>\r\n<td>New Mexico<\/td>\r\n<td>25.1<\/td>\r\n<td>West Virginia<\/td>\r\n<td>32.5<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Iowa<\/td>\r\n<td>28.4<\/td>\r\n<td>New York<\/td>\r\n<td>23.9<\/td>\r\n<td>Wisconsin<\/td>\r\n<td>26.3<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Kansas<\/td>\r\n<td>29.4<\/td>\r\n<td>North Carolina<\/td>\r\n<td>27.8<\/td>\r\n<td>Wyoming<\/td>\r\n<td>25.1<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<p id=\"fs-idp22466816\">Construct a bar graph of obesity rates of your state and the four states closest to your state. Hint: Label the <em data-effect=\"italics\">x<\/em>-axis with the states.<\/p>\r\n6) Student grades on a chemistry exam were: 77,\u00a0 78,\u00a0 76,\u00a0 81,\u00a0 86,\u00a0 51,\u00a0 79,\u00a0 82,\u00a0 84,\u00a0 99\r\n<ol id=\"fs-idp96417840\" type=\"a\">\r\n \t<li>Construct a stem-and-leaf plot of the data.<\/li>\r\n \t<li>Are there any potential outliers? If so, which scores are they? Why do you consider them outliers?<\/li>\r\n<\/ol>\r\n<\/div>\r\n<div id=\"fs-idp3779952\" data-type=\"solution\">\r\n\r\n<strong>Answers to odd questions<\/strong>\r\n\r\n1)\r\n<div id=\"fs-idp34240\" data-type=\"solution\">\r\n<table id=\"Singles\" summary=\"\"><caption><span data-type=\"title\">Singles<\/span><\/caption>\r\n<thead>\r\n<tr>\r\n<th>Amount(\\$)<\/th>\r\n<th>Frequency<\/th>\r\n<th>Relative Frequency<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>51\u2013100<\/td>\r\n<td>5<\/td>\r\n<td>0.08<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>101\u2013150<\/td>\r\n<td>10<\/td>\r\n<td>0.17<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>151\u2013200<\/td>\r\n<td>15<\/td>\r\n<td>0.25<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>201\u2013250<\/td>\r\n<td>15<\/td>\r\n<td>0.25<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>251\u2013300<\/td>\r\n<td>10<\/td>\r\n<td>0.17<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>301\u2013350<\/td>\r\n<td>5<\/td>\r\n<td>0.08<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<table id=\"Couples\" summary=\"\"><caption><span data-type=\"title\">Couples<\/span><\/caption>\r\n<thead>\r\n<tr>\r\n<th>Amount(\\$)<\/th>\r\n<th>Frequency<\/th>\r\n<th>Relative Frequency<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>100\u2013150<\/td>\r\n<td>5<\/td>\r\n<td>0.07<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>201\u2013250<\/td>\r\n<td>5<\/td>\r\n<td>0.07<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>251\u2013300<\/td>\r\n<td>5<\/td>\r\n<td>0.07<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>301\u2013350<\/td>\r\n<td>5<\/td>\r\n<td>0.07<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>351\u2013400<\/td>\r\n<td>10<\/td>\r\n<td>0.14<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>401\u2013450<\/td>\r\n<td>10<\/td>\r\n<td>0.14<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>451\u2013500<\/td>\r\n<td>10<\/td>\r\n<td>0.14<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>501\u2013550<\/td>\r\n<td>10<\/td>\r\n<td>0.14<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>551\u2013600<\/td>\r\n<td>5<\/td>\r\n<td>0.07<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>601\u2013650<\/td>\r\n<td>5<\/td>\r\n<td>0.07<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<ol id=\"fs-idp1651760\" type=\"a\" data-mark-suffix=\".\">\r\n \t<li>See <a class=\"autogenerated-content\" href=\"#Singles\">(Figure)<\/a> and <a class=\"autogenerated-content\" href=\"#Couples\">(Figure)<\/a>.<\/li>\r\n \t<li>In the following histogram data values that fall on the right boundary are counted in the class interval, while values that fall on the left boundary are not counted (with the exception of the first interval where both boundary values are included).\r\n<div id=\"eip-idp10303088\" class=\"bc-figure figure\"><span id=\"fs-idp32280736\" data-type=\"media\" data-display=\"block\" data-alt=\"This is a histogram that matches the supplied data supplied for singles. The x-axis shows the total charges in intervals of 50 from 50 to 350, and the y-axis shows the relative frequency in increments of 0.05 from 0 to 0.3.\"><img src=\"https:\/\/pressbooks.ccconline.org\/acccomposition1\/wp-content\/uploads\/sites\/83\/2022\/08\/CNX_Stats_C02_M03_106-1.jpg\" alt=\"This is a histogram that matches the supplied data supplied for singles. The x-axis shows the total charges in intervals of 50 from 50 to 350, and the y-axis shows the relative frequency in increments of 0.05 from 0 to 0.3.\" width=\"350\" data-media-type=\"image\/jpg\" \/><\/span><\/div><\/li>\r\n \t<li>In the following histogram, the data values that fall on the right boundary are counted in the class interval, while values that fall on the left boundary are not counted (with the exception of the first interval where values on both boundaries are included).\r\n<div id=\"eip-idp116473376\" class=\"bc-figure figure\"><span id=\"fs-idm4934000\" data-type=\"media\" data-display=\"block\" data-alt=\"This is a histogram that matches the supplied data for couples. The x-axis shows the total charges in intervals of 50 from 100 to 650, and the y-axis shows the relative frequency in increments of 0.02 from 0 to 0.16.\"><img src=\"https:\/\/pressbooks.ccconline.org\/acccomposition1\/wp-content\/uploads\/sites\/83\/2022\/08\/CNX_Stats_C02_M03_107-1.jpg\" alt=\"This is a histogram that matches the supplied data for couples. The x-axis shows the total charges in intervals of 50 from 100 to 650, and the y-axis shows the relative frequency in increments of 0.02 from 0 to 0.16.\" width=\"350\" data-media-type=\"image\/jpg\" \/><\/span><\/div><\/li>\r\n \t<li>Compare the two graphs:\r\n<ol id=\"fs-idm1796080\" type=\"i\" data-mark-suffix=\".\">\r\n \t<li>Answers may vary. Possible answers include:\r\n<ul id=\"fs-idp12795120\">\r\n \t<li>Both graphs have a single peak.<\/li>\r\n \t<li>Both graphs use class intervals with width equal to ?50.<\/li>\r\n<\/ul>\r\n<\/li>\r\n \t<li>Answers may vary. Possible answers include:\r\n<ul id=\"fs-idm10655584\">\r\n \t<li>The couples graph has a class interval with no values.<\/li>\r\n \t<li>It takes almost twice as many class intervals to display the data for couples.<\/li>\r\n<\/ul>\r\n<\/li>\r\n \t<li>Answers may vary. Possible answers include: The graphs are more similar than different because the overall patterns for the graphs are the same.<\/li>\r\n<\/ol>\r\n<\/li>\r\n \t<li>Check student's solution.<\/li>\r\n \t<li>Compare the graph for the Singles with the new graph for the Couples:\r\n<ol id=\"fs-idp17546528\" type=\"i\" data-mark-suffix=\".\">\r\n \t<li style=\"list-style-type: none\">\r\n<ul id=\"fs-idp13357024\">\r\n \t<li>Both graphs have a single peak.<\/li>\r\n \t<li>Both graphs display 6 class intervals.<\/li>\r\n \t<li>Both graphs show the same general pattern.<\/li>\r\n<\/ul>\r\n<\/li>\r\n \t<li>Answers may vary. Possible answers include: Although the width of the class intervals for couples is double that of the class intervals for singles, the graphs are more similar than they are different.<\/li>\r\n<\/ol>\r\n<\/li>\r\n \t<li>Answers may vary. Possible answers include: You are able to compare the graphs interval by interval. It is easier to compare the overall patterns with the new scale on the Couples graph. Because a couple represents two individuals, the new scale leads to a more accurate comparison.<\/li>\r\n \t<li>Answers may vary. Possible answers include: Based on the histograms, it seems that spending does not vary much from singles to individuals who are part of a couple. The overall patterns are the same. The range of spending for couples is approximately double the range for individuals.<\/li>\r\n<\/ol>\r\n3) c\r\n\r\n5) Answers will vary.\r\n\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<div id=\"fs-idp49136992\" data-type=\"exercise\">\r\n<div id=\"fs-idp49137248\" data-type=\"problem\">\r\n<p id=\"fs-idp5295728\"><\/p>\r\n\r\n<\/div>\r\n<\/div>\r\n<div id=\"eip-440\" data-type=\"exercise\">\r\n<div id=\"eip-27\" data-type=\"solution\"><\/div>\r\n<\/div>\r\n<\/div>","rendered":"<h2>Bar Graphs<\/h2>\n<p id=\"eip-136\"><strong>Bar graphs<\/strong> consist of bars that are separated from each other. The bars can be rectangles or they can be rectangular boxes (used in three-dimensional plots), and they can be vertical or horizontal. The <strong>bar graph<\/strong> shown in <a class=\"autogenerated-content\" href=\"#example5\">(Figure)<\/a> has age groups represented on the <strong><em data-effect=\"italics\">x<\/em>-axis<\/strong> and proportions on the <strong><em data-effect=\"italics\">y<\/em>-axis<\/strong>.<\/p>\n<div id=\"example5\" class=\"textbox textbox--examples\" data-type=\"example\">\n<div id=\"fs-idm7260336\" data-type=\"exercise\">\n<div id=\"fs-idp99169968\" data-type=\"problem\">\n<p id=\"eip-666\">By the end of 2011, Facebook had over 146 million users in the United States. <a class=\"autogenerated-content\" href=\"#M01_Ch02_tbl010\">(Figure)<\/a> shows three age groups, the number of users in each age group, and the proportion (%) of users in each age group. Construct a bar graph using this data.<\/p>\n<table id=\"M01_Ch02_tbl010\" summary=\"The information is from Facebook. The first row of the table displays age groups, the second row displays number of Facebook users and the third row displays percentages.\">\n<thead>\n<tr>\n<th>Age groups<\/th>\n<th>Number of Facebook users<\/th>\n<th>Proportion (%) of Facebook users<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>13\u201325<\/td>\n<td>65,082,280<\/td>\n<td>45%<\/td>\n<\/tr>\n<tr>\n<td>26\u201344<\/td>\n<td>53,300,200<\/td>\n<td>36%<\/td>\n<\/tr>\n<tr>\n<td>45\u201364<\/td>\n<td>27,885,100<\/td>\n<td>19%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<div id=\"fs-idp32850832\" data-type=\"solution\">\n<div id=\"fs-idm25485824\" class=\"bc-figure figure\"><span id=\"bar_graph_Facebook\" data-type=\"media\" data-display=\"block\" data-alt=\"This is a bar graph that matches the supplied data. The x-axis shows age groups, and the y-axis shows the percentages of Facebook users.\"><img decoding=\"async\" src=\"https:\/\/pressbooks.ccconline.org\/acccomposition1\/wp-content\/uploads\/sites\/83\/2022\/08\/fig-ch02_03_02-1.jpg\" alt=\"This is a bar graph that matches the supplied data. The x-axis shows age groups, and the y-axis shows the percentages of Facebook users.\" width=\"380\" data-media-type=\"image\/jpg\" \/><\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<div id=\"fs-idp2492880\" class=\"statistics try\" data-type=\"note\" data-has-label=\"true\" data-label=\"\">\n<div data-type=\"title\">Try It<\/div>\n<div id=\"fs-idm47906688\" data-type=\"exercise\">\n<div id=\"fs-idm7708128\" data-type=\"problem\">\n<p id=\"fs-idp6746384\">The population in Park City is made up of children, working-age adults, and retirees. <a class=\"autogenerated-content\" href=\"#M01_Ch02_tbl011\">(Figure)<\/a> shows the three age groups, the number of people in the town from each age group, and the proportion (%) of people in each age group. Construct a bar graph showing the proportions.<\/p>\n<table id=\"M01_Ch02_tbl011\" summary=\"\">\n<thead>\n<tr>\n<th>Age groups<\/th>\n<th>Number of people<\/th>\n<th>Proportion of population<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Children<\/td>\n<td>67,059<\/td>\n<td>19%<\/td>\n<\/tr>\n<tr>\n<td>Working-age adults<\/td>\n<td>152,198<\/td>\n<td>43%<\/td>\n<\/tr>\n<tr>\n<td>Retirees<\/td>\n<td>131,662<\/td>\n<td>38%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"textbox textbox--examples\" data-type=\"example\">\n<div id=\"fs-idm25526448\" data-type=\"exercise\">\n<div id=\"fs-idm19535184\" data-type=\"problem\">\n<p id=\"eip-655\">The columns in <a class=\"autogenerated-content\" href=\"#M01_Ch02_tbl012\">(Figure)<\/a> contain: the race or ethnicity of students in U.S. Public Schools for the class of 2011, percentages for the Advanced Placement examine population for that class, and percentages for the overall student population. Create a bar graph with the student race or ethnicity (qualitative data) on the <em data-effect=\"italics\">x<\/em>-axis, and the Advanced Placement examinee population percentages on the <em data-effect=\"italics\">y<\/em>-axis.<\/p>\n<table id=\"M01_Ch02_tbl012\" summary=\"The table shows Race and Ethnicity in the first column, Advanced Placement Examinee Population in the second column and Overall Student Population in the third column.\">\n<thead>\n<tr>\n<th>Race\/Ethnicity<\/th>\n<th>AP Examinee Population<\/th>\n<th>Overall Student Population<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>1 = Asian, Asian American or Pacific Islander<\/td>\n<td>10.3%<\/td>\n<td>5.7%<\/td>\n<\/tr>\n<tr>\n<td>2 = Black or African American<\/td>\n<td>9.0%<\/td>\n<td>14.7%<\/td>\n<\/tr>\n<tr>\n<td>3 = Hispanic or Latino<\/td>\n<td>17.0%<\/td>\n<td>17.6%<\/td>\n<\/tr>\n<tr>\n<td>4 = American Indian or Alaska Native<\/td>\n<td>0.6%<\/td>\n<td>1.1%<\/td>\n<\/tr>\n<tr>\n<td>5 = White<\/td>\n<td>57.1%<\/td>\n<td>59.2%<\/td>\n<\/tr>\n<tr>\n<td>6 = Not reported\/other<\/td>\n<td>6.0%<\/td>\n<td>1.7%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<div id=\"fs-idp30402432\" data-type=\"solution\">\n<div id=\"M01_Ch02_fig003\" class=\"bc-figure figure\"><span id=\"bar_graph_Ap_Examinee\" data-type=\"media\" data-display=\"block\" data-alt=\"This is a bar graph that matches the supplied data. The x-axis shows race and ethnicity, and the y-axis shows the percentages of AP examinees.\"><img decoding=\"async\" src=\"https:\/\/pressbooks.ccconline.org\/acccomposition1\/wp-content\/uploads\/sites\/83\/2022\/08\/fig-ch02_03_03-1.jpg\" alt=\"This is a bar graph that matches the supplied data. The x-axis shows race and ethnicity, and the y-axis shows the percentages of AP examinees.\" width=\"380\" data-media-type=\"image\/jpg\" \/><\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<div id=\"fs-idp41522672\" class=\"statistics try\" data-type=\"note\" data-has-label=\"true\" data-label=\"\">\n<div data-type=\"title\">Try It<\/div>\n<div id=\"fs-idm43065520\" data-type=\"exercise\">\n<div id=\"fs-idp3652336\" data-type=\"problem\">\n<p id=\"fs-idp31379616\">Park city is broken down into six voting districts. The table shows the percent of the total registered voter population that lives in each district as well as the percent total of the entire population that lives in each district. Construct a bar graph that shows the registered voter population by district.<\/p>\n<table id=\"M01_Ch02_tbl013\" summary=\"\">\n<colgroup>\n<col data-align=\"center\" \/>\n<col \/>\n<col \/><\/colgroup>\n<thead>\n<tr>\n<th>District<\/th>\n<th>Registered voter population<\/th>\n<th>Overall city population<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>1<\/td>\n<td>15.5%<\/td>\n<td>19.4%<\/td>\n<\/tr>\n<tr>\n<td>2<\/td>\n<td>12.2%<\/td>\n<td>15.6%<\/td>\n<\/tr>\n<tr>\n<td>3<\/td>\n<td>9.8%<\/td>\n<td>9.0%<\/td>\n<\/tr>\n<tr>\n<td>4<\/td>\n<td>17.4%<\/td>\n<td>18.5%<\/td>\n<\/tr>\n<tr>\n<td>5<\/td>\n<td>22.8%<\/td>\n<td>20.7%<\/td>\n<\/tr>\n<tr>\n<td>6<\/td>\n<td>22.3%<\/td>\n<td>16.8%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<\/div>\n<div id=\"fs-idm21451296\" class=\"footnotes\" data-depth=\"1\">\n<h2>Histograms<\/h2>\n<p id=\"element-657\">For most of the work you do in this book, you will use a histogram to display the data. One advantage of a histogram is that it can readily display large data sets. A rule of thumb is to use a histogram when the data set consists of 100 values or more.<\/p>\n<p id=\"element-446\">A <span data-type=\"term\">histogram<\/span> consists of contiguous (adjoining) boxes. It has both a horizontal axis and a vertical axis. The horizontal axis is labeled with what the data represents (for instance, distance from your home to school). The vertical axis is labeled either <span data-type=\"term\">frequency<\/span> or <span data-type=\"term\">relative frequency<\/span> (or percent frequency or probability). The graph will have the same shape with either label. The histogram (like the stemplot) can give you the shape of the data, the center, and the spread of the data.<\/p>\n<p id=\"element-123\">The relative frequency is equal to the frequency for an observed value of the data divided by the total number of data values in the sample. (Remember, frequency is defined as the number of times an answer occurs.) If:<\/p>\n<ul id=\"element-614\">\n<li><em data-effect=\"italics\">f<\/em> = frequency<\/li>\n<li><em data-effect=\"italics\">n<\/em> = total number of data values (or the sum of the individual frequencies), and<\/li>\n<li><em data-effect=\"italics\">RF<\/em> = relative frequency,<\/li>\n<\/ul>\n<p id=\"element-700\">then:<\/p>\n<div id=\"element-1000\" data-type=\"equation\">\\(\\text{RF}=\\frac{f}{n}\\)<\/div>\n<p id=\"element-323\">For example, if three students in Mr. Ahab&#8217;s English class of 40 students received from 90% to 100%, then,<\/p>\n<p><em data-effect=\"italics\">f<\/em> = 3, <em data-effect=\"italics\">n<\/em> = 40, and <em data-effect=\"italics\">RF<\/em> = \\(\\frac{f}{n}\\) = \\(\\frac{3}{40}\\) = 0.075. 7.5% of the students received 90\u2013100%. 90\u2013100% are quantitative measures.<\/p>\n<p id=\"element-237\"><strong>To construct a histogram<\/strong>, first decide how many <strong>bars<\/strong> or <strong>intervals<\/strong>, also called classes, represent the data. Many histograms consist of five to 15 bars or classes for clarity. The number of bars needs to be chosen. Choose a starting point for the first interval to be less than the smallest data value. A <strong>convenient starting point<\/strong> is a lower value carried out to one more decimal place than the value with the most decimal places. For example, if the value with the most decimal places is 6.1 and this is the smallest value, a convenient starting point is 6.05 (6.1 \u2013 0.05 = 6.05). We say that 6.05 has more precision. If the value with the most decimal places is 2.23 and the lowest value is 1.5, a convenient starting point is 1.495 (1.5 \u2013 0.005 = 1.495). If the value with the most decimal places is 3.234 and the lowest value is 1.0, a convenient starting point is 0.9995 (1.0 \u2013 0.0005 = 0.9995). If all the data happen to be integers and the smallest value is two, then a convenient starting point is 1.5 (2 \u2013 0.5 = 1.5). Also, when the starting point and other boundaries are carried to one additional decimal place, no data value will fall on a boundary. The next two examples go into detail about how to construct a histogram using continuous data and how to create a histogram using discrete data.<\/p>\n<div id=\"exampid1\" class=\"textbox textbox--examples\" data-type=\"example\">\n<p id=\"element-743\">The following data are the heights (in inches to the nearest half inch) of 100 male semiprofessional soccer players. The heights are <strong>continuous<\/strong> data, since height is measured. <span data-type=\"newline\"><br \/>\n<\/span>60;\u00a0 60.5;\u00a0 61;\u00a0 61;\u00a0 61.5 <span data-type=\"newline\"><br \/>\n<\/span>63.5;\u00a0 63.5;\u00a0 63.5 <span data-type=\"newline\"><br \/>\n<\/span>64;\u00a0 64;\u00a0 64;\u00a0 64;\u00a0 64;\u00a0 64;\u00a0 64;\u00a0 64.5;\u00a0 64.5;\u00a0 64.5;\u00a0 64.5;\u00a0 64.5;\u00a0 64.5;\u00a0 64.5;\u00a0 64.5 <span data-type=\"newline\"><br \/>\n<\/span>66;\u00a0 66;\u00a0 66;\u00a0 66;\u00a0 66;\u00a0 66;\u00a0 66;\u00a0 66;\u00a0 66;\u00a0 66;\u00a0 66.5;\u00a0 66.5;\u00a0 66.5;\u00a0 66.5;\u00a0 66.5;\u00a0 66.5;\u00a0 66.5;\u00a0 66.5;\u00a0 66.5;\u00a0 66.5;\u00a0 66.5;\u00a0 67;\u00a0 67;\u00a0 67;\u00a0 67;\u00a0 67;\u00a0 67;\u00a0 67;\u00a0 67;\u00a0 67;\u00a0 67;\u00a0 67;\u00a0 67;\u00a0 67.5;\u00a0 67.5;\u00a0 67.5;\u00a0 67.5;\u00a0 67.5;\u00a0 67.5;\u00a0 67.5 <span data-type=\"newline\"><br \/>\n<\/span>68;\u00a0 68;\u00a0 69;\u00a0 69;\u00a0 69;\u00a0 69;\u00a0 69;\u00a0 69;\u00a0 69;\u00a0 69;\u00a0 69;\u00a0 69;\u00a0 69.5;\u00a0 69.5;\u00a0 69.5;\u00a0 69.5;\u00a0 69.5 <span data-type=\"newline\"><br \/>\n<\/span>70;\u00a0 70;\u00a0 70;\u00a0 70;\u00a0 70;\u00a0 70;\u00a0 70.5;\u00a0 70.5;\u00a0 70.5;\u00a0 71;\u00a0 71;\u00a0 71 <span data-type=\"newline\"><br \/>\n<\/span>72;\u00a0 72;\u00a0 72;\u00a0 72.5;\u00a0 72.5;\u00a0 73;\u00a0 73.5 <span data-type=\"newline\"><br \/>\n<\/span>74<\/p>\n<p id=\"element-364\">The smallest data value is 60. Since the data with the most decimal places has one decimal (for instance, 61.5), we want our starting point to have two decimal places. Since the numbers 0.5, 0.05, 0.005, etc. are convenient numbers, use 0.05 and subtract it from 60, the smallest value, for the convenient starting point.<\/p>\n<p id=\"element-906\">60 \u2013 0.05 = 59.95 which is more precise than, say, 61.5 by one decimal place. The starting point is, then, 59.95.<\/p>\n<p id=\"element-291\">The largest value is 74, so 74 + 0.05 = 74.05 is the ending value.<\/p>\n<p>Next, calculate the width of each bar or class interval. To calculate this width, subtract the starting point from the ending value and divide by the number of bars (you must choose the number of bars you desire). Suppose you choose eight bars.<\/p>\n<div id=\"element-2133\" data-type=\"equation\">\\(\\frac{74.05-59.95}{8}=1.76\\)<\/div>\n<div id=\"id7476385\" data-type=\"note\" data-has-label=\"true\" data-label=\"\">\n<div data-type=\"title\">NOTE<\/div>\n<p id=\"fs-idm11623536\">We will round up to two and make each bar or class interval two units wide. Rounding up to two is one way to prevent a value from falling on a boundary. Rounding to the next number is often necessary even if it goes against the standard rules of rounding. For this example, using 1.76 as the width would also work. A guideline that is followed by some for the number of bars or class intervals is to take the square root of the number of data values and then round to the nearest whole number, if necessary. For example, if there are 150 values of data, take the square root of 150 and round to 12 bars or intervals.<\/p>\n<\/div>\n<p id=\"element-209\">The boundaries are:<\/p>\n<ul id=\"element-790\">\n<li>59.95<\/li>\n<li>59.95 + 2 = 61.95<\/li>\n<li>61.95 + 2 = 63.95<\/li>\n<li>63.95 + 2 = 65.95<\/li>\n<li>65.95 + 2 = 67.95<\/li>\n<li>67.95 + 2 = 69.95<\/li>\n<li>69.95 + 2 = 71.95<\/li>\n<li>71.95 + 2 = 73.95<\/li>\n<li>73.95 + 2 = 75.95<\/li>\n<\/ul>\n<p id=\"element-159\">The heights 60 through 61.5 inches are in the interval 59.95\u201361.95. The heights that are 63.5 are in the interval 61.95\u201363.95. The heights that are 64 through 64.5 are in the interval 63.95\u201365.95. The heights 66 through 67.5 are in the interval 65.95\u201367.95. The heights 68 through 69.5 are in the interval 67.95\u201369.95. The heights 70 through 71 are in the interval 69.95\u201371.95. The heights 72 through 73.5 are in the interval 71.95\u201373.95. The height 74 is in the interval 73.95\u201375.95.<\/p>\n<p id=\"element-451\">The following histogram displays the heights on the <em data-effect=\"italics\">x<\/em>-axis and relative frequency on the <em data-effect=\"italics\">y<\/em>-axis.<\/p>\n<div id=\"eip-idm88475792\" class=\"bc-figure figure\"><span id=\"id7474144\" data-type=\"media\" data-alt=\"Histogram consists of 8 bars with the y-axis in increments of 0.05 from 0-0.4 and the x-axis in intervals of 2 from 59.95-75.95.\" data-display=\"block\"><img decoding=\"async\" src=\"https:\/\/pressbooks.ccconline.org\/acccomposition1\/wp-content\/uploads\/sites\/83\/2022\/05\/fig-ch_02_04_01-1.jpg\" alt=\"Histogram consists of 8 bars with the y-axis in increments of 0.05 from 0-0.4 and the x-axis in intervals of 2 from 59.95-75.95.\" width=\"350\" data-media-type=\"image\/png\" \/><\/span><\/div>\n<\/div>\n<div id=\"fs-idp304592\" class=\"statistics try\" data-type=\"note\" data-has-label=\"true\" data-label=\"\">\n<div data-type=\"title\">Try It<\/div>\n<div id=\"fs-idm28791888\" data-type=\"exercise\">\n<div id=\"fs-idp77099632\" data-type=\"problem\">\n<p id=\"fs-idp43536752\">The following data are the shoe sizes of 50 male students. The sizes are discrete data since shoe size is measured in whole and half units only. Construct a histogram and calculate the width of each bar or class interval. Suppose you choose six bars. <span data-type=\"newline\"><br \/>\n<\/span>9;\u00a0 9;\u00a0 9.5;\u00a0 9.5;\u00a0 10;\u00a0 10;\u00a0 10;\u00a0 10;\u00a0 10;\u00a0 10;\u00a0 10.5;\u00a0 10.5;\u00a0 10.5;\u00a0 10.5;\u00a0 10.5;\u00a0 10.5;\u00a0 10.5;\u00a0 10.5 <span data-type=\"newline\"><br \/>\n<\/span>11;\u00a0 11;\u00a0 11;\u00a0 11;\u00a0 11;\u00a0 11;\u00a0 11;\u00a0 11;\u00a0 11;\u00a0 11;\u00a0 11;\u00a0 11;\u00a0 11;\u00a0 11.5;\u00a0 11.5;\u00a0 11.5;\u00a0 11.5;\u00a0 11.5;\u00a0 11.5;\u00a0 11.5 <span data-type=\"newline\"><br \/>\n<\/span>12;\u00a0 12;\u00a0 12;\u00a0 12;\u00a0 12;\u00a0 12;\u00a0 12;\u00a0 12.5;\u00a0 12.5;\u00a0 12.5;\u00a0 12.5;\u00a0 14<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div id=\"exampid2\" class=\"textbox textbox--examples\" data-type=\"example\">\n<p>Create a histogram for the following data: the number of books bought by 50 part-time college students at ABC College.the number of books bought by 50 part-time college students at ABC College. The number of books is <strong>discrete data<\/strong>, since books are counted. <span data-type=\"newline\"><br \/>\n<\/span>1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1 <span data-type=\"newline\"><br \/>\n<\/span>2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2 <span data-type=\"newline\"><br \/>\n<\/span>3;\u00a0 3;\u00a0 3;\u00a0 3;\u00a0 3;\u00a0 3;\u00a0 3;\u00a0 3;\u00a0 3;\u00a0 3;\u00a0 3;\u00a0 3;\u00a0 3;\u00a0 3;\u00a0 3;\u00a0 3 <span data-type=\"newline\"><br \/>\n<\/span>4;\u00a0 4;\u00a0 4;\u00a0 4;\u00a0 4;\u00a0 4 <span data-type=\"newline\"><br \/>\n<\/span>5;\u00a0 5;\u00a0 5;\u00a0 5;\u00a0 5 <span data-type=\"newline\"><br \/>\n<\/span>6;\u00a0 6<\/p>\n<p id=\"element-760\">Eleven students buy one book. Ten students buy two books. Sixteen students buy three books. Six students buy four books. Five students buy five books. Two students buy six books.<\/p>\n<p id=\"element-728\">Because the data are integers, subtract 0.5 from 1, the smallest data value and add 0.5 to 6, the largest data value. Then the starting point is 0.5 and the ending value is 6.5.<\/p>\n<div id=\"element-545\" data-type=\"exercise\">\n<div id=\"id8093949\" data-type=\"problem\">\n<p id=\"element-818\">Next, calculate the width of each bar or class interval. If the data are discrete and there are not too many different values, a width that places the data values in the middle of the bar or class interval is the most convenient. Since the data consist of the numbers 1, 2, 3, 4, 5, 6, and the starting point is 0.5, a width of one places the 1 in the middle of the interval from 0.5 to 1.5, the 2 in the middle of the interval from 1.5 to 2.5, the 3 in the middle of the interval from 2.5 to 3.5, the 4 in the middle of the interval from _______ to _______, the 5 in the middle of the interval from _______ to _______, and the _______ in the middle of the interval from _______ to _______ .<\/p>\n<\/div>\n<div id=\"id12377723\" data-type=\"solution\" data-print-placement=\"end\">\n<ul>\n<li>3.5 to 4.5<\/li>\n<li>4.5 to 5.5<\/li>\n<li>6<\/li>\n<li>5.5 to 6.5<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<p>Calculate the number of bars as follows:<\/p>\n<div id=\"element-48\" data-type=\"equation\">\\(\\frac{6.5-0.5}{\\mathrm{number of bars}}=1\\)<\/div>\n<p id=\"element-600\">where 1 is the width of a bar. Therefore, bars = 6.<\/p>\n<p id=\"element-756\">The following histogram displays the number of books on the <em data-effect=\"italics\">x<\/em>-axis and the frequency on the <em data-effect=\"italics\">y<\/em>-axis.<\/p>\n<div id=\"eip-idp35221648\" class=\"bc-figure figure\"><span id=\"id5693638\" data-type=\"media\" data-alt=\"Histogram consists of 6 bars with the y-axis in increments of 2 from 0-16 and the x-axis in intervals of 1 from 0.5-6.5.\" data-display=\"block\"><img decoding=\"async\" src=\"https:\/\/pressbooks.ccconline.org\/acccomposition1\/wp-content\/uploads\/sites\/83\/2022\/08\/fig-ch_02_04_02-1.jpg\" alt=\"Histogram consists of 6 bars with the y-axis in increments of 2 from 0-16 and the x-axis in intervals of 1 from 0.5-6.5.\" width=\"380\" data-media-type=\"image\/png\" \/><\/span><\/div>\n<\/div>\n<div id=\"fs-idm25803056\" class=\"statistics calculator\" data-type=\"note\" data-has-label=\"true\" data-label=\"\">\n<p id=\"fs-idm23601024\">Go to <a class=\"autogenerated-content\" href=\"\/contents\/d0ba1833-f0d2-4195-8765-3c436745f0fb\">(Figure)<\/a>. There are calculator instructions for entering data and for creating a customized histogram. Create the histogram for <a class=\"autogenerated-content\" href=\"#exampid2\">(Figure)<\/a>.<\/p>\n<ul id=\"fs-idp2836464\">\n<li>Press Y=. Press CLEAR to delete any equations.<\/li>\n<li>Press STAT 1:EDIT. If L1 has data in it, arrow up into the name L1, press CLEAR and then arrow down. If necessary, do the same for L2.<\/li>\n<li>Into L1, enter 1, 2, 3, 4, 5, 6.<\/li>\n<li>Into L2, enter 11, 10, 16, 6, 5, 2.<\/li>\n<li>Press WINDOW. Set Xmin = .5, Xmax = 6.5, Xscl = (6.5 \u2013 .5)\/6, Ymin = \u20131, Ymax = 20, Yscl = 1, Xres = 1.<\/li>\n<li>Press 2<sup>nd<\/sup> Y=. Start by pressing 4:Plotsoff ENTER.<\/li>\n<li>Press 2<sup>nd<\/sup> Y=. Press 1:Plot1. Press ENTER. Arrow down to TYPE. Arrow to the 3<sup>rd<\/sup> picture (histogram). Press ENTER.<\/li>\n<li>Arrow down to Xlist: Enter L1 (2<sup>nd<\/sup> 1). Arrow down to Freq. Enter L2 (2<sup>nd<\/sup> 2).<\/li>\n<li>Press GRAPH.<\/li>\n<li>Use the TRACE key and the arrow keys to examine the histogram.<\/li>\n<\/ul>\n<\/div>\n<div id=\"fs-idm93603984\" class=\"statistics try\" data-type=\"note\" data-has-label=\"true\" data-label=\"\">\n<div data-type=\"title\">Try It<\/div>\n<div id=\"fs-idp68031136\" data-type=\"exercise\">\n<div id=\"fs-idp68031392\" data-type=\"problem\">\n<p id=\"fs-idp62894704\">The following data are the number of sports played by 50 student athletes. The number of sports is discrete data since sports are counted.<\/p>\n<p id=\"fs-idp50986496\">1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1;\u00a0 1 <span data-type=\"newline\"><br \/>\n<\/span>2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2;\u00a0 2 <span data-type=\"newline\"><br \/>\n<\/span>3;\u00a0 3;\u00a0 3;\u00a0 3;\u00a0 3;\u00a0 3;\u00a0 3;\u00a0 3 <span data-type=\"newline\"><br \/>\n<\/span>20 student athletes play one sport. 22 student athletes play two sports. Eight student athletes play three sports.<\/p>\n<p id=\"fs-idp11189216\"><em data-effect=\"italics\">Fill in the blanks for the following sentence.<\/em> Since the data consist of the numbers 1, 2, 3, and the starting point is 0.5, a width of one places the 1 in the middle of the interval 0.5 to _____, the 2 in the middle of the interval from _____ to _____, and the 3 in the middle of the interval from _____ to _____.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div id=\"fs-idp46234048\" class=\"textbox textbox--examples\" data-type=\"example\">\n<div id=\"fs-idm61675872\" data-type=\"exercise\">\n<div id=\"fs-idp66653792\" data-type=\"problem\">\n<p id=\"fs-idm21354960\">Using this data set, construct a histogram.<\/p>\n<table id=\"fs-idp46234304\" summary=\"\">\n<thead>\n<tr>\n<th colspan=\"5\">Number of Hours My Classmates Spent Playing Video Games on Weekends<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>9.95<\/td>\n<td>10<\/td>\n<td>2.25<\/td>\n<td>16.75<\/td>\n<td>0<\/td>\n<\/tr>\n<tr>\n<td>19.5<\/td>\n<td>22.5<\/td>\n<td>7.5<\/td>\n<td>15<\/td>\n<td>12.75<\/td>\n<\/tr>\n<tr>\n<td>5.5<\/td>\n<td>11<\/td>\n<td>10<\/td>\n<td>20.75<\/td>\n<td>17.5<\/td>\n<\/tr>\n<tr>\n<td>23<\/td>\n<td>21.9<\/td>\n<td>24<\/td>\n<td>23.75<\/td>\n<td>18<\/td>\n<\/tr>\n<tr>\n<td>20<\/td>\n<td>15<\/td>\n<td>22.9<\/td>\n<td>18.8<\/td>\n<td>20.5<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<div id=\"fs-idm51477920\" data-type=\"solution\">\n<div id=\"fs-idp72238816\" class=\"bc-figure figure\"><span id=\"fs-idm21354576\" data-type=\"media\" data-alt=\"This is a histogram that matches the supplied data. The x-axis consists of 5 bars in intervals of 5 from 0 to 25. The y-axis is marked in increments of 1 from 0 to 10. The x-axis shows the number of hours spent playing video games on the weekends, and the y-axis shows the number of students.\" data-display=\"block\"><img decoding=\"async\" src=\"https:\/\/pressbooks.ccconline.org\/acccomposition1\/wp-content\/uploads\/sites\/83\/2022\/08\/CNX_Stats_C02_M04_020-1.jpg\" alt=\"This is a histogram that matches the supplied data. The x-axis consists of 5 bars in intervals of 5 from 0 to 25. The y-axis is marked in increments of 1 from 0 to 10. The x-axis shows the number of hours spent playing video games on the weekends, and the y-axis shows the number of students.\" width=\"400\" data-media-type=\"image\/png\" \/><\/span><\/div>\n<p id=\"fs-idm106252848\">Some values in this data set fall on boundaries for the class intervals. A value is counted in a class interval if it falls on the left boundary, but not if it falls on the right boundary. Different researchers may set up histograms for the same data in different ways. There is more than one correct way to set up a histogram.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div id=\"fs-idm161572864\" class=\"statistics try\" data-type=\"note\" data-has-label=\"true\" data-label=\"\">\n<div data-type=\"title\">Try It<\/div>\n<div id=\"fs-idm32934816\" data-type=\"exercise\">\n<div id=\"fs-idm4304416\" data-type=\"problem\">\n<p id=\"fs-idp57423888\">The following data represent the number of employees at various restaurants in New York City. Using this data, create a histogram.<\/p>\n<p id=\"fs-idp57424272\"><span data-type=\"list\" data-list-type=\"labeled-item\" data-display=\"inline\">22\u00a0 35\u00a0 15\u00a0 26\u00a0 40\u00a0 28\u00a0 18\u00a0 20\u00a0 25\u00a0 34\u00a0 39\u00a0 42\u00a0 24\u00a0 22\u00a0 19\u00a0 27\u00a0 22\u00a0 34\u00a0 40\u00a0 20\u00a0 38\u00a0 and\u00a0 28<\/span><span data-type=\"newline\"><br \/>\n<\/span>Use 10\u201319 as the first interval.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div id=\"fs-idm107220592\" class=\"statistics collab\" data-type=\"note\" data-has-label=\"true\" data-label=\"\">\n<p>Count the money (bills and change) in your pocket or purse. Your instructor will record the amounts. As a class, construct a histogram displaying the data. Discuss how many intervals you think is appropriate. You may want to experiment with the number of intervals.<\/p>\n<\/div>\n<div id=\"fs-idm4800336\" class=\"bc-section section\" data-depth=\"1\">\n<h2 data-type=\"title\">Stem and Leaf<\/h2>\n<\/div>\n<\/div>\n<p id=\"id6999853\">One simple graph, the <strong>stem-and-leaf graph<\/strong> or <strong>stemplot<\/strong>, comes from the field of exploratory data analysis. It is a good choice when the data sets are small. To create the plot, divide each observation of data into a stem and a leaf. The leaf consists of a <strong>final significant digit<\/strong>. For example, 23 has stem two and leaf three. The number 432 has stem 43 and leaf two. Likewise, the number 5,432 has stem 543 and leaf two. The decimal 9.3 has stem nine and leaf three. Write the stems in a vertical line from smallest to largest. Draw a vertical line to the right of the stems. Then write the leaves in increasing order next to their corresponding stem.<\/p>\n<div id=\"element-696\" class=\"textbox textbox--examples\" data-type=\"example\">\n<p id=\"element-948\">For Susan Dean&#8217;s spring pre-calculus class, scores for the first exam were as follows (smallest to largest): <span data-type=\"newline\"><br \/>\n<\/span> 33;\u00a0 42;\u00a0 49;\u00a0 49;\u00a0 53;\u00a0 55;\u00a0 55;\u00a0 61;\u00a0 63;\u00a0 67;\u00a0 68;\u00a0 68;\u00a0 69;\u00a0 69;\u00a0 72;\u00a0 73;\u00a0 74;\u00a0 78;\u00a0 80;\u00a0 83;\u00a0 88;\u00a0 88;\u00a0 88;\u00a0 90;\u00a0 92;\u00a0 94;\u00a0 94;\u00a0 94;\u00a0 94;\u00a0 96;\u00a0 100<\/p>\n<table id=\"element-185\" summary=\"Table displaying stem in first column and leaf in second column for the values listed above.\">\n<caption><span data-type=\"title\">Stem-and-Leaf Graph<\/span><\/caption>\n<thead>\n<tr>\n<th>Stem<\/th>\n<th>Leaf<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>3<\/td>\n<td>3<\/td>\n<\/tr>\n<tr>\n<td>4<\/td>\n<td>2\u00a0 9\u00a0 9<\/td>\n<\/tr>\n<tr>\n<td>5<\/td>\n<td>3\u00a0 5\u00a0 5<\/td>\n<\/tr>\n<tr>\n<td>6<\/td>\n<td>1\u00a0 3\u00a0 7\u00a0 8\u00a0 8\u00a0 9\u00a0 9<\/td>\n<\/tr>\n<tr>\n<td>7<\/td>\n<td>2\u00a0 3\u00a0 4\u00a0 8<\/td>\n<\/tr>\n<tr>\n<td>8<\/td>\n<td>0\u00a0 3\u00a0 8\u00a0 8\u00a0 8<\/td>\n<\/tr>\n<tr>\n<td>9<\/td>\n<td>0\u00a0 2\u00a0 4\u00a0 4\u00a0 4\u00a0 4\u00a0 6<\/td>\n<\/tr>\n<tr>\n<td>10<\/td>\n<td>0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p id=\"element-541\">The stemplot shows that most scores fell in the 60s, 70s, 80s, and 90s. Eight out of the 31 scores or approximately 26% (left(frac{8}{31}right)) were in the 90s or 100, a fairly high number of As.<\/p>\n<\/div>\n<div id=\"fs-idp6114880\" class=\"statistics try\" data-type=\"note\" data-has-label=\"true\" data-label=\"\">\n<div data-type=\"title\">Try It<\/div>\n<div id=\"fs-idp3142256\" data-type=\"exercise\">\n<div id=\"fs-idm28250320\" data-type=\"problem\">\n<p id=\"fs-idp29192512\">For the Park City basketball team, scores for the last 30 games were as follows (smallest to largest): <span data-type=\"newline\"><br \/>\n<\/span> 32; 32; 33; 34; 38; 40; 42; 42; 43; 44; 46; 47; 47; 48; 48; 48; 49; 50; 50; 51; 52; 52; 52; 53; 54; 56; 57; 57; 60; 61 <span data-type=\"newline\"><br \/>\n<\/span>Construct a stem plot for the data.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<p id=\"eip-522\">The stemplot is a quick way to graph data and gives an exact picture of the data. You want to look for an overall pattern and any outliers. An <span data-type=\"term\">outlier<\/span> is an observation of data that does not fit the rest of the data. It is sometimes called an <strong>extreme value.<\/strong> When you graph an outlier, it will appear not to fit the pattern of the graph. Some outliers are due to mistakes (for example, writing down 50 instead of 500) while others may indicate that something unusual is happening. It takes some background information to explain outliers, so we will cover them in more detail later.<\/p>\n<div id=\"element-798\" class=\"textbox textbox--examples\" data-type=\"example\">\n<p id=\"element-534\">The data are the distances (in kilometers) from a home to local supermarkets. Create a stemplot using the data: <span data-type=\"newline\"><br \/>\n<\/span>1.1;\u00a0 1.5;\u00a0 2.3;\u00a0 2.5;\u00a0 2.7;\u00a0 3.2;\u00a0 3.3;\u00a0 3.3;\u00a0 3.5;\u00a0 3.8;\u00a0 4.0;\u00a0 4.2;\u00a0 4.5;\u00a0 4.5;\u00a0 4.7;\u00a0 4.8;\u00a0 5.5;\u00a0 5.6;\u00a0 6.5;\u00a0 6.7;\u00a0 12.3<\/p>\n<div id=\"element-6923\" data-type=\"exercise\">\n<div id=\"id8567884\" data-type=\"problem\">\n<p id=\"fs-idp11807920\">Do the data seem to have any concentration of values?<\/p>\n<div id=\"id8559724\" data-type=\"note\" data-has-label=\"true\" data-label=\"\">\n<div data-type=\"title\">NOTE<\/div>\n<p id=\"fs-idp145995424\">The leaves are to the right of the decimal.<\/p>\n<\/div>\n<\/div>\n<div id=\"id8559734\" data-type=\"solution\" data-print-placement=\"end\">\n<p>The value 12.3 may be an outlier. Values appear to concentrate at three and four kilometers.<\/p>\n<table id=\"element-533\" summary=\"This is a Stem-Leaf graph with stems 1, 2, 3, 4, 5, 6, 12 and leaves to the right of the decimal point.\">\n<thead>\n<tr>\n<th>Stem<\/th>\n<th>Leaf<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>1<\/td>\n<td>1\u00a0 5<\/td>\n<\/tr>\n<tr>\n<td>2<\/td>\n<td>3\u00a0 5\u00a0 7<\/td>\n<\/tr>\n<tr>\n<td>3<\/td>\n<td>2\u00a0 3\u00a0 3\u00a0 5\u00a0 8<\/td>\n<\/tr>\n<tr>\n<td>4<\/td>\n<td>0\u00a0 2\u00a0 5\u00a0 5\u00a0 7\u00a0 8<\/td>\n<\/tr>\n<tr>\n<td>5<\/td>\n<td>5\u00a0 6<\/td>\n<\/tr>\n<tr>\n<td>6<\/td>\n<td>5\u00a0 7<\/td>\n<\/tr>\n<tr>\n<td>7<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>8<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>9<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>10<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>11<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>12<\/td>\n<td>3<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<\/div>\n<div id=\"fs-idp4001472\" class=\"statistics try\" data-type=\"note\" data-has-label=\"true\" data-label=\"\">\n<div data-type=\"title\">Try It<\/div>\n<div id=\"fs-idm40603312\" data-type=\"exercise\">\n<div id=\"fs-idm28790944\" data-type=\"problem\">\n<p id=\"fs-idp73770272\">The following data show the distances (in miles) from the homes of off-campus statistics students to the college. Create a stem plot using the data and identify any outliers:<\/p>\n<p id=\"fs-idp20460656\">0.5;\u00a0 0.7;\u00a0 1.1;\u00a0 1.2;\u00a0 1.2;\u00a0 1.3;\u00a0 1.3;\u00a0 1.5;\u00a0 1.5;\u00a0 1.7;\u00a0 1.7;\u00a0 1.8;\u00a0 1.9;\u00a0 2.0;\u00a0 2.2;\u00a0 2.5;\u00a0 2.6;\u00a0 2.8;\u00a0 2.8;\u00a0 2.8;\u00a0 3.5;\u00a0 3.8;\u00a0 4.4;\u00a0 4.8;\u00a0 4.9;\u00a0 5.2;\u00a0 5.5;\u00a0 5.7;\u00a0 5.8;\u00a0 8.0<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div id=\"fs-idp11879648\" class=\"textbox textbox--examples\" data-type=\"example\">\n<div id=\"fs-idp161531440\" data-type=\"exercise\">\n<div id=\"fs-idp99219856\" data-type=\"problem\">\n<p id=\"fs-idp93832256\">A <strong>side-by-side stem-and-leaf plot<\/strong> allows a comparison of the two data sets in two columns. In a side-by-side stem-and-leaf plot, two sets of leaves share the same stem. The leaves are to the left and the right of the stems. <a class=\"autogenerated-content\" href=\"#M01_Ch02_tbl005\">(Figure)<\/a> and <a class=\"autogenerated-content\" href=\"#M01_Ch02_tbl006\">(Figure)<\/a> show the ages of presidents at their inauguration and at their death. Construct a side-by-side stem-and-leaf plot using this data.<\/p>\n<\/div>\n<div id=\"fs-idp107817952\" data-type=\"solution\">\n<table id=\"M01_Ch02_tbl007\" summary=\"---\">\n<colgroup>\n<col data-align=\"right\" \/>\n<col data-align=\"center\" \/>\n<col data-align=\"left\" \/><\/colgroup>\n<thead>\n<tr>\n<th>Ages at Inauguration<\/th>\n<th><\/th>\n<th>Ages at Death<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>9\u00a0 9\u00a0 8\u00a0 7\u00a0 7\u00a0 7\u00a0 6\u00a0 3\u00a0 2<\/td>\n<td>4<\/td>\n<td>6\u00a0 9<\/td>\n<\/tr>\n<tr>\n<td>8\u00a0 7\u00a0 7\u00a0 7\u00a0 7\u00a0 6\u00a0 6\u00a0 6\u00a0 5\u00a0 5\u00a0 5\u00a0 5\u00a0 4\u00a0 4\u00a0 4\u00a0 4\u00a0 4\u00a0 2\u00a0 2\u00a0 1\u00a0 1\u00a0 1\u00a0 1\u00a0 1\u00a0 0<\/td>\n<td>5<\/td>\n<td>3\u00a0 6\u00a0 6\u00a0 7\u00a0 7\u00a0 8<\/td>\n<\/tr>\n<tr>\n<td>9\u00a0 8\u00a0 5\u00a0 4\u00a0 4\u00a0 2\u00a0 1\u00a0 1\u00a0 1\u00a0 0<\/td>\n<td>6<\/td>\n<td>0\u00a0 0\u00a0 3\u00a0 3\u00a0 4\u00a0 4\u00a0 5\u00a0 6\u00a0 7\u00a0 7\u00a0 7\u00a0 8<\/td>\n<\/tr>\n<tr>\n<td><\/td>\n<td>7<\/td>\n<td>0\u00a0 0\u00a0 1\u00a0 1\u00a0 1\u00a0 4\u00a0 7\u00a0 8\u00a0 8\u00a0 9<\/td>\n<\/tr>\n<tr>\n<td><\/td>\n<td>8<\/td>\n<td>0\u00a0 1\u00a0 3\u00a0 5\u00a0 8<\/td>\n<\/tr>\n<tr>\n<td><\/td>\n<td>9<\/td>\n<td>0\u00a0 0\u00a0 3\u00a0 3<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<table id=\"M01_Ch02_tbl005\" summary=\"\">\n<caption><span data-type=\"title\">Presidential Ages at Inauguration<\/span><\/caption>\n<thead>\n<tr>\n<th>President<\/th>\n<th>Age<\/th>\n<th>President<\/th>\n<th>Age<\/th>\n<th>President<\/th>\n<th>Age<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Washington<\/td>\n<td>57<\/td>\n<td>Lincoln<\/td>\n<td>52<\/td>\n<td>Hoover<\/td>\n<td>54<\/td>\n<\/tr>\n<tr>\n<td>J. Adams<\/td>\n<td>61<\/td>\n<td>A. Johnson<\/td>\n<td>56<\/td>\n<td>F. Roosevelt<\/td>\n<td>51<\/td>\n<\/tr>\n<tr>\n<td>Jefferson<\/td>\n<td>57<\/td>\n<td>Grant<\/td>\n<td>46<\/td>\n<td>Truman<\/td>\n<td>60<\/td>\n<\/tr>\n<tr>\n<td>Madison<\/td>\n<td>57<\/td>\n<td>Hayes<\/td>\n<td>54<\/td>\n<td>Eisenhower<\/td>\n<td>62<\/td>\n<\/tr>\n<tr>\n<td>Monroe<\/td>\n<td>58<\/td>\n<td>Garfield<\/td>\n<td>49<\/td>\n<td>Kennedy<\/td>\n<td>43<\/td>\n<\/tr>\n<tr>\n<td>J. Q. Adams<\/td>\n<td>57<\/td>\n<td>Arthur<\/td>\n<td>51<\/td>\n<td>L. Johnson<\/td>\n<td>55<\/td>\n<\/tr>\n<tr>\n<td>Jackson<\/td>\n<td>61<\/td>\n<td>Cleveland<\/td>\n<td>47<\/td>\n<td>Nixon<\/td>\n<td>56<\/td>\n<\/tr>\n<tr>\n<td>Van Buren<\/td>\n<td>54<\/td>\n<td>B. Harrison<\/td>\n<td>55<\/td>\n<td>Ford<\/td>\n<td>61<\/td>\n<\/tr>\n<tr>\n<td>W. H. Harrison<\/td>\n<td>68<\/td>\n<td>Cleveland<\/td>\n<td>55<\/td>\n<td>Carter<\/td>\n<td>52<\/td>\n<\/tr>\n<tr>\n<td>Tyler<\/td>\n<td>51<\/td>\n<td>McKinley<\/td>\n<td>54<\/td>\n<td>Reagan<\/td>\n<td>69<\/td>\n<\/tr>\n<tr>\n<td>Polk<\/td>\n<td>49<\/td>\n<td>T. Roosevelt<\/td>\n<td>42<\/td>\n<td>G.H.W. Bush<\/td>\n<td>64<\/td>\n<\/tr>\n<tr>\n<td>Taylor<\/td>\n<td>64<\/td>\n<td>Taft<\/td>\n<td>51<\/td>\n<td>Clinton<\/td>\n<td>47<\/td>\n<\/tr>\n<tr>\n<td>Fillmore<\/td>\n<td>50<\/td>\n<td>Wilson<\/td>\n<td>56<\/td>\n<td>G. W. Bush<\/td>\n<td>54<\/td>\n<\/tr>\n<tr>\n<td>Pierce<\/td>\n<td>48<\/td>\n<td>Harding<\/td>\n<td>55<\/td>\n<td>Obama<\/td>\n<td>47<\/td>\n<\/tr>\n<tr>\n<td>Buchanan<\/td>\n<td>65<\/td>\n<td>Coolidge<\/td>\n<td>51<\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<table id=\"M01_Ch02_tbl006\" summary=\"\">\n<caption><span data-type=\"title\">Presidential Age at Death<\/span><\/caption>\n<thead>\n<tr>\n<th>President<\/th>\n<th>Age<\/th>\n<th>President<\/th>\n<th>Age<\/th>\n<th>President<\/th>\n<th>Age<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Washington<\/td>\n<td>67<\/td>\n<td>Lincoln<\/td>\n<td>56<\/td>\n<td>Hoover<\/td>\n<td>90<\/td>\n<\/tr>\n<tr>\n<td>J. Adams<\/td>\n<td>90<\/td>\n<td>A. Johnson<\/td>\n<td>66<\/td>\n<td>F. Roosevelt<\/td>\n<td>63<\/td>\n<\/tr>\n<tr>\n<td>Jefferson<\/td>\n<td>83<\/td>\n<td>Grant<\/td>\n<td>63<\/td>\n<td>Truman<\/td>\n<td>88<\/td>\n<\/tr>\n<tr>\n<td>Madison<\/td>\n<td>85<\/td>\n<td>Hayes<\/td>\n<td>70<\/td>\n<td>Eisenhower<\/td>\n<td>78<\/td>\n<\/tr>\n<tr>\n<td>Monroe<\/td>\n<td>73<\/td>\n<td>Garfield<\/td>\n<td>49<\/td>\n<td>Kennedy<\/td>\n<td>46<\/td>\n<\/tr>\n<tr>\n<td>J. Q. Adams<\/td>\n<td>80<\/td>\n<td>Arthur<\/td>\n<td>56<\/td>\n<td>L. Johnson<\/td>\n<td>64<\/td>\n<\/tr>\n<tr>\n<td>Jackson<\/td>\n<td>78<\/td>\n<td>Cleveland<\/td>\n<td>71<\/td>\n<td>Nixon<\/td>\n<td>81<\/td>\n<\/tr>\n<tr>\n<td>Van Buren<\/td>\n<td>79<\/td>\n<td>B. Harrison<\/td>\n<td>67<\/td>\n<td>Ford<\/td>\n<td>93<\/td>\n<\/tr>\n<tr>\n<td>W. H. Harrison<\/td>\n<td>68<\/td>\n<td>Cleveland<\/td>\n<td>71<\/td>\n<td>Reagan<\/td>\n<td>93<\/td>\n<\/tr>\n<tr>\n<td>Tyler<\/td>\n<td>71<\/td>\n<td>McKinley<\/td>\n<td>58<\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>Polk<\/td>\n<td>53<\/td>\n<td>T. Roosevelt<\/td>\n<td>60<\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>Taylor<\/td>\n<td>65<\/td>\n<td>Taft<\/td>\n<td>72<\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>Fillmore<\/td>\n<td>74<\/td>\n<td>Wilson<\/td>\n<td>67<\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>Pierce<\/td>\n<td>64<\/td>\n<td>Harding<\/td>\n<td>57<\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>Buchanan<\/td>\n<td>77<\/td>\n<td>Coolidge<\/td>\n<td>60<\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<div id=\"fs-idp9770768\" class=\"statistics try\" data-type=\"note\" data-has-label=\"true\" data-label=\"\">\n<div id=\"fs-idp35107968\" data-type=\"exercise\">\n<div id=\"fs-idm2063072\" data-type=\"problem\">\n<p id=\"fs-idm4586448\">The table shows the number of wins and losses the Atlanta Hawks have had in 42 seasons. Create a side-by-side stem-and-leaf plot of these wins and losses.<\/p>\n<table id=\"fs-idm25873440\" summary=\"..\">\n<caption>\u00a0<\/caption>\n<thead>\n<tr>\n<th>Losses<\/th>\n<th>Wins<\/th>\n<th>Year<\/th>\n<th>Losses<\/th>\n<th>Wins<\/th>\n<th>Year<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>34<\/td>\n<td>48<\/td>\n<td>1968\u20131969<\/td>\n<td>41<\/td>\n<td>41<\/td>\n<td>1989\u20131990<\/td>\n<\/tr>\n<tr>\n<td>34<\/td>\n<td>48<\/td>\n<td>1969\u20131970<\/td>\n<td>39<\/td>\n<td>43<\/td>\n<td>1990\u20131991<\/td>\n<\/tr>\n<tr>\n<td>46<\/td>\n<td>36<\/td>\n<td>1970\u20131971<\/td>\n<td>44<\/td>\n<td>38<\/td>\n<td>1991\u20131992<\/td>\n<\/tr>\n<tr>\n<td>46<\/td>\n<td>36<\/td>\n<td>1971\u20131972<\/td>\n<td>39<\/td>\n<td>43<\/td>\n<td>1992\u20131993<\/td>\n<\/tr>\n<tr>\n<td>36<\/td>\n<td>46<\/td>\n<td>1972\u20131973<\/td>\n<td>25<\/td>\n<td>57<\/td>\n<td>1993\u20131994<\/td>\n<\/tr>\n<tr>\n<td>47<\/td>\n<td>35<\/td>\n<td>1973\u20131974<\/td>\n<td>40<\/td>\n<td>42<\/td>\n<td>1994\u20131995<\/td>\n<\/tr>\n<tr>\n<td>51<\/td>\n<td>31<\/td>\n<td>1974\u20131975<\/td>\n<td>36<\/td>\n<td>46<\/td>\n<td>1995\u20131996<\/td>\n<\/tr>\n<tr>\n<td>53<\/td>\n<td>29<\/td>\n<td>1975\u20131976<\/td>\n<td>26<\/td>\n<td>56<\/td>\n<td>1996\u20131997<\/td>\n<\/tr>\n<tr>\n<td>51<\/td>\n<td>31<\/td>\n<td>1976\u20131977<\/td>\n<td>32<\/td>\n<td>50<\/td>\n<td>1997\u20131998<\/td>\n<\/tr>\n<tr>\n<td>41<\/td>\n<td>41<\/td>\n<td>1977\u20131978<\/td>\n<td>19<\/td>\n<td>31<\/td>\n<td>1998\u20131999<\/td>\n<\/tr>\n<tr>\n<td>36<\/td>\n<td>46<\/td>\n<td>1978\u20131979<\/td>\n<td>54<\/td>\n<td>28<\/td>\n<td>1999\u20132000<\/td>\n<\/tr>\n<tr>\n<td>32<\/td>\n<td>50<\/td>\n<td>1979\u20131980<\/td>\n<td>57<\/td>\n<td>25<\/td>\n<td>2000\u20132001<\/td>\n<\/tr>\n<tr>\n<td>51<\/td>\n<td>31<\/td>\n<td>1980\u20131981<\/td>\n<td>49<\/td>\n<td>33<\/td>\n<td>2001\u20132002<\/td>\n<\/tr>\n<tr>\n<td>40<\/td>\n<td>42<\/td>\n<td>1981\u20131982<\/td>\n<td>47<\/td>\n<td>35<\/td>\n<td>2002\u20132003<\/td>\n<\/tr>\n<tr>\n<td>39<\/td>\n<td>43<\/td>\n<td>1982\u20131983<\/td>\n<td>54<\/td>\n<td>28<\/td>\n<td>2003\u20132004<\/td>\n<\/tr>\n<tr>\n<td>42<\/td>\n<td>40<\/td>\n<td>1983\u20131984<\/td>\n<td>69<\/td>\n<td>13<\/td>\n<td>2004\u20132005<\/td>\n<\/tr>\n<tr>\n<td>48<\/td>\n<td>34<\/td>\n<td>1984\u20131985<\/td>\n<td>56<\/td>\n<td>26<\/td>\n<td>2005\u20132006<\/td>\n<\/tr>\n<tr>\n<td>32<\/td>\n<td>50<\/td>\n<td>1985\u20131986<\/td>\n<td>52<\/td>\n<td>30<\/td>\n<td>2006\u20132007<\/td>\n<\/tr>\n<tr>\n<td>25<\/td>\n<td>57<\/td>\n<td>1986\u20131987<\/td>\n<td>45<\/td>\n<td>37<\/td>\n<td>2007\u20132008<\/td>\n<\/tr>\n<tr>\n<td>32<\/td>\n<td>50<\/td>\n<td>1987\u20131988<\/td>\n<td>35<\/td>\n<td>47<\/td>\n<td>2008\u20132009<\/td>\n<\/tr>\n<tr>\n<td>30<\/td>\n<td>52<\/td>\n<td>1988\u20131989<\/td>\n<td>29<\/td>\n<td>53<\/td>\n<td>2009\u20132010<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"footnotes\" data-depth=\"1\">\n<h3 data-type=\"title\">References<\/h3>\n<p id=\"fs-idm29098416\">Burbary, Ken. <em data-effect=\"italics\">Facebook Demographics Revisited \u2013 2001 Statistics,<\/em> 2011. Available online at http:\/\/www.kenburbary.com\/2011\/03\/facebook-demographics-revisited-2011-statistics-2\/ (accessed August 21, 2013).<\/p>\n<p id=\"fs-idm29098160\">\u201c9th Annual AP Report to the Nation.\u201d CollegeBoard, 2013. Available online at http:\/\/apreport.collegeboard.org\/goals-and-findings\/promoting-equity (accessed September 13, 2013).<\/p>\n<p id=\"fs-idp130237744\">\u201cOverweight and Obesity: Adult Obesity Facts.\u201d Centers for Disease Control and Prevention. Available online at http:\/\/www.cdc.gov\/obesity\/data\/adult.html (accessed September 13, 2013).<\/p>\n<\/div>\n<div id=\"fs-idp18706816\" class=\"summary\" data-depth=\"1\">\n<h3 data-type=\"title\">Chapter Review<\/h3>\n<p id=\"fs-idp5119792\">A <strong>bar graph<\/strong> is a chart that uses either horizontal or vertical bars to show comparisons among categories. One axis of the chart shows the specific categories being compared, and the other axis represents a discrete value. Some bar graphs present bars clustered in groups of more than one (grouped bar graphs), and others show the bars divided into subparts to show cumulative effect (stacked bar graphs). Bar graphs are especially useful when categorical data is being used. A <strong>histogram<\/strong> is a graphic version of a frequency distribution. The graph consists of bars of equal width drawn adjacent to each other. The horizontal scale represents classes of quantitative data values and the vertical scale represents frequencies. The heights of the bars correspond to frequency values. Histograms are typically used for large, continuous, quantitative data sets. A <strong>stem-and-leaf plot<\/strong> is a way to plot data and look at the distribution. In a stem-and-leaf plot, all data values within a class are visible. The advantage in a stem-and-leaf plot is that all values are listed, unlike a histogram, which gives classes of data values.<\/p>\n<\/div>\n<div id=\"fs-idp51353072\" class=\"practice\" data-depth=\"1\">\n<h3 data-type=\"title\"><em data-effect=\"italics\">For each of the following data sets, create a stem plot and identify any outliers.<\/em>The miles per gallon rating for 30 cars are shown below (lowest to highest). <span data-type=\"newline\"><br \/>\n<\/span>19,\u00a0 19,\u00a0 19,\u00a0 20,\u00a0 21,\u00a0 21,\u00a0 25,\u00a0 25,\u00a0 25,\u00a0 26,\u00a0 26,\u00a0 28,\u00a0 29,\u00a0 31,\u00a0 31,\u00a0 32,\u00a0 32,\u00a0 33,\u00a0 34,\u00a0 35,\u00a0 36,\u00a0 37,\u00a0 37,\u00a0 38,\u00a0 38,\u00a0 38,\u00a0 38,\u00a0 41,\u00a0 43,\u00a0 43<\/h3>\n<\/div>\n<div id=\"fs-idm37847504\" data-type=\"solution\">\n<table id=\"fs-idp96212464\" summary=\"The miles per gallon rating for 30 cars\">\n<colgroup>\n<col data-align=\"center\" \/>\n<col data-align=\"left\" \/><\/colgroup>\n<thead>\n<tr>\n<th>Stem<\/th>\n<th data-align=\"center\">Leaf<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>1<\/td>\n<td>9\u00a0 9\u00a0 9<\/td>\n<\/tr>\n<tr>\n<td>2<\/td>\n<td>0\u00a0 1\u00a0 1\u00a0 5\u00a0 5\u00a0 5\u00a0 6\u00a0 6\u00a0 8\u00a0 9<\/td>\n<\/tr>\n<tr>\n<td>3<\/td>\n<td>1\u00a0 1\u00a0 2\u00a0 2\u00a0 3\u00a0 4\u00a0 5\u00a0 6\u00a0 7\u00a0 7\u00a0 8\u00a0 8\u00a0 8\u00a0 8<\/td>\n<\/tr>\n<tr>\n<td>4<\/td>\n<td>1\u00a0 3\u00a0 3<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<div id=\"fs-idp69585968\" data-type=\"exercise\">\n<div id=\"fs-idp5781504\" data-type=\"problem\">\n<p id=\"fs-idp7036560\">The height in feet of 25 trees is shown below (lowest to highest). <span data-type=\"newline\"><br \/>\n<\/span>25,\u00a0 27,\u00a0 33,\u00a0 34,\u00a0 34,\u00a0 34,\u00a0 35,\u00a0 37,\u00a0 37,\u00a0 38,\u00a0 39,\u00a0 39,\u00a0 39,\u00a0 40,\u00a0 41,\u00a0 45,\u00a0 46,\u00a0 47,\u00a0 49,\u00a0 50,\u00a0 50,\u00a0 53,\u00a0 53,\u00a0 54,\u00a0 54<\/p>\n<\/div>\n<\/div>\n<div id=\"exercise8\" data-type=\"exercise\">\n<div id=\"fs-idp105863648\" data-type=\"problem\">\n<p id=\"fs-idp8584400\">The data are the prices of different laptops at an electronics store. Round each value to the nearest ten. <span data-type=\"newline\"><br \/>\n<\/span>249,\u00a0 249,\u00a0 260,\u00a0 265,\u00a0 265,\u00a0 280,\u00a0 299,\u00a0 299,\u00a0 309,\u00a0 319,\u00a0 325,\u00a0 326,\u00a0 350,\u00a0 350,\u00a0 350,\u00a0 365,\u00a0 369,\u00a0 389,\u00a0 409,\u00a0 459,\u00a0 489,\u00a0 559,\u00a0 569,\u00a0 570,\u00a0 610<\/p>\n<\/div>\n<div id=\"fs-idp114380816\" data-type=\"solution\">\n<table id=\"M01_Ch02_tbl016\" summary=\"The data are the prices of different laptops at an electronics store.\">\n<colgroup>\n<col data-align=\"center\" \/>\n<col data-align=\"left\" \/><\/colgroup>\n<thead>\n<tr>\n<th>Stem<\/th>\n<th data-align=\"center\">Leaf<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>2<\/td>\n<td>5\u00a0 5\u00a0 6\u00a0 7\u00a0 7\u00a0 8<\/td>\n<\/tr>\n<tr>\n<td>3<\/td>\n<td>0\u00a0 0\u00a0 1\u00a0 2\u00a0 3\u00a0 3\u00a0 5\u00a0 5\u00a0 5\u00a0 7\u00a0 7\u00a0 9<\/td>\n<\/tr>\n<tr>\n<td>4<\/td>\n<td>1\u00a0 6\u00a0 9<\/td>\n<\/tr>\n<tr>\n<td>5<\/td>\n<td>6\u00a0 7\u00a0 7<\/td>\n<\/tr>\n<tr>\n<td>6<\/td>\n<td>1<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<div id=\"fs-idp48193248\" data-type=\"exercise\">\n<div id=\"fs-idp71330208\" data-type=\"problem\">\n<p id=\"fs-idp71330464\">The data are daily high temperatures in a town for one month. <span data-type=\"newline\"><br \/>\n<\/span>61,\u00a0 61,\u00a0 62,\u00a0 64,\u00a0 66,\u00a0 67,\u00a0 67,\u00a0 67,\u00a0 68,\u00a0 69,\u00a0 70,\u00a0 70,\u00a0 70,\u00a0 71,\u00a0 71,\u00a0 72,\u00a0 74,\u00a0 74,\u00a0 74,\u00a0 75,\u00a0 75,\u00a0 75,\u00a0 76,\u00a0 76,\u00a0 77,\u00a0 78,\u00a0 78,\u00a0 79,\u00a0 79,\u00a0 95<\/p>\n<\/div>\n<\/div>\n<div id=\"fs-idp113295424\" data-type=\"exercise\">\n<div id=\"fs-idp47635040\" data-type=\"solution\">\n<div id=\"fs-idp29124208\" class=\"bc-figure figure\"><\/div>\n<\/div>\n<\/div>\n<div id=\"fs-idp11360192\" data-type=\"exercise\">\n<div id=\"fs-idp6234528\" data-type=\"problem\"><\/div>\n<\/div>\n<div id=\"fs-idp113509472\" data-type=\"exercise\">\n<div id=\"fs-idp49973120\" data-type=\"solution\">\n<div id=\"fs-idm11163840\" class=\"bc-figure figure\"><span style=\"text-align: initial;font-size: 1em\">The students in Ms. Ramirez\u2019s math class have birthdays in each of the four seasons. <\/span><a class=\"autogenerated-content\" style=\"text-align: initial;font-size: 1em\" href=\"#M01_Ch02_tbl021\">(Figure)<\/a><span style=\"text-align: initial;font-size: 1em\"> shows the four seasons, the number of students who have birthdays in each season, and the percentage (%) of students in each group. Construct a bar graph showing the number of students.<\/span><\/div>\n<\/div>\n<\/div>\n<div id=\"exercise13\" data-type=\"exercise\">\n<div id=\"fs-idp84353344\" data-type=\"problem\">\n<table id=\"M01_Ch02_tbl021\" summary=\"\">\n<colgroup>\n<col data-align=\"center\" \/>\n<col \/>\n<col \/><\/colgroup>\n<thead>\n<tr>\n<th>Seasons<\/th>\n<th data-align=\"center\">Number of students<\/th>\n<th data-align=\"center\">Proportion of population<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Spring<\/td>\n<td>8<\/td>\n<td>24%<\/td>\n<\/tr>\n<tr>\n<td>Summer<\/td>\n<td>9<\/td>\n<td>26%<\/td>\n<\/tr>\n<tr>\n<td>Autumn<\/td>\n<td>11<\/td>\n<td>32%<\/td>\n<\/tr>\n<tr>\n<td>Winter<\/td>\n<td>6<\/td>\n<td>18%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<div id=\"fs-idp114173136\" data-type=\"exercise\">\n<div id=\"fs-idp114173392\" data-type=\"problem\">\n<p id=\"fs-idp114173520\">Using the data from Mrs. Ramirez\u2019s math class supplied in <a class=\"autogenerated-content\" href=\"#exercise13\">(Figure)<\/a>, construct a bar graph showing the percentages.<\/p>\n<\/div>\n<div id=\"fs-idp107574416\" data-type=\"solution\">\n<div id=\"fs-idp48344576\" class=\"bc-figure figure\"><span id=\"fs-idp74133360\" data-type=\"media\" data-display=\"block\" data-alt=\"This is a bar graph that matches the supplied data. The x-axis shows the seasons of the year, and the y-axis shows the proportion of birthdays.\"><img decoding=\"async\" src=\"https:\/\/pressbooks.ccconline.org\/acccomposition1\/wp-content\/uploads\/sites\/83\/2022\/08\/CNX_Stats_C02_M03_009-1.jpg\" alt=\"This is a bar graph that matches the supplied data. The x-axis shows the seasons of the year, and the y-axis shows the proportion of birthdays.\" width=\"350\" data-media-type=\"image\/jpg\" \/><\/span><\/div>\n<\/div>\n<\/div>\n<div id=\"exercise10\" data-type=\"exercise\">\n<div id=\"fs-idm2655872\" data-type=\"problem\">\n<p id=\"fs-idp32116368\">David County has six high schools. Each school sent students to participate in a county-wide science competition. <a class=\"autogenerated-content\" href=\"#M01_Ch02_tbl022\">(Figure)<\/a> shows the percentage breakdown of competitors from each school, and the percentage of the entire student population of the county that goes to each school. Construct a bar graph that shows the population percentage of competitors from each school.<\/p>\n<table id=\"M01_Ch02_tbl022\" summary=\"\">\n<colgroup>\n<col data-align=\"center\" \/>\n<col data-align=\"left\" \/>\n<col data-align=\"left\" \/><\/colgroup>\n<thead>\n<tr>\n<th>High School<\/th>\n<th data-align=\"center\">Science competition population<\/th>\n<th data-align=\"center\">Overall student population<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Alabaster<\/td>\n<td>28.9%<\/td>\n<td>8.6%<\/td>\n<\/tr>\n<tr>\n<td>Concordia<\/td>\n<td>7.6%<\/td>\n<td>23.2%<\/td>\n<\/tr>\n<tr>\n<td>Genoa<\/td>\n<td>12.1%<\/td>\n<td>15.0%<\/td>\n<\/tr>\n<tr>\n<td>Mocksville<\/td>\n<td>18.5%<\/td>\n<td>14.3%<\/td>\n<\/tr>\n<tr>\n<td>Tynneson<\/td>\n<td>24.2%<\/td>\n<td>10.1%<\/td>\n<\/tr>\n<tr>\n<td>West End<\/td>\n<td>8.7%<\/td>\n<td>28.8%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<div id=\"fs-idp107146752\" data-type=\"exercise\">\n<div id=\"fs-idp107568048\" data-type=\"problem\">\n<p id=\"fs-idp107568176\">Use the data from the David County science competition supplied in <a class=\"autogenerated-content\" href=\"#exercise10\">(Figure)<\/a>. Construct a bar graph that shows the county-wide population percentage of students at each school.<\/p>\n<\/div>\n<div id=\"fs-idp4118704\" data-type=\"solution\">\n<div id=\"fs-idp86744448\" class=\"bc-figure figure\"><span id=\"fs-idp112012640\" data-type=\"media\" data-display=\"block\" data-alt=\"This is a bar graph that matches the supplied data. The x-axis shows the county high schools, and the y-axis shows the proportion of county students.\"><img decoding=\"async\" src=\"https:\/\/pressbooks.ccconline.org\/acccomposition1\/wp-content\/uploads\/sites\/83\/2022\/08\/CNX_Stats_C02_M03_011-1.jpg\" alt=\"This is a bar graph that matches the supplied data. The x-axis shows the county high schools, and the y-axis shows the proportion of county students.\" width=\"420\" data-media-type=\"image\/jpg\" \/><\/span><\/div>\n<\/div>\n<\/div>\n<div id=\"fs-idp103158432\" class=\"free-response\" data-depth=\"1\">\n<div id=\"fs-idm3046592\" class=\"practice\" data-depth=\"1\">\n<div id=\"eip-341\" data-type=\"exercise\">\n<div id=\"fs-idp82639856\" data-type=\"problem\">\n<p id=\"fs-idp82640112\">Sixty-five randomly selected car salespersons were asked the number of cars they generally sell in one week. Fourteen people answered that they generally sell three cars; nineteen generally sell four cars; twelve generally sell five cars; nine generally sell six cars; eleven generally sell seven cars. Complete the table.<\/p>\n<table id=\"table001\" summary=\"Blank table where data can be reported with the first column designated for the data value, or number of cars, the second column for frequency, the third column for relative frequency, and the fourth column for cumulative frequency.\">\n<thead>\n<tr>\n<th>Data Value (# cars)<\/th>\n<th>Frequency<\/th>\n<th>Relative Frequency<\/th>\n<th>Cumulative Relative Frequency<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<div id=\"element-625\" data-type=\"exercise\">\n<div id=\"id9456620\" data-type=\"problem\">\n<p>What does the frequency column in <a class=\"autogenerated-content\" href=\"#table001\">(Figure)<\/a> sum to? Why?<\/p>\n<\/div>\n<div id=\"id6523440\" data-type=\"solution\">\n<p id=\"element-943\">65<\/p>\n<\/div>\n<\/div>\n<div data-type=\"exercise\">\n<div id=\"id6442302\" data-type=\"problem\">\n<p>What does the relative frequency column in <a class=\"autogenerated-content\" href=\"#table001\">(Figure)<\/a> sum to? Why?<\/p>\n<\/div>\n<\/div>\n<div data-type=\"exercise\">\n<div id=\"id17920864\" data-type=\"problem\">\n<p>What is the difference between relative frequency and frequency for each data value in <a class=\"autogenerated-content\" href=\"#table001\">(Figure)<\/a>?<\/p>\n<\/div>\n<div id=\"eip-idm45288784\" data-type=\"solution\">\n<p id=\"eip-idm45288528\">The relative frequency shows the <em data-effect=\"italics\">proportion<\/em> of data points that have each value. The frequency tells the <em data-effect=\"italics\">number<\/em> of data points that have each value.<\/p>\n<\/div>\n<\/div>\n<div data-type=\"exercise\">\n<div id=\"id11564922\" data-type=\"problem\">\n<p>What is the difference between cumulative relative frequency and relative frequency for each data value?<\/p>\n<\/div>\n<\/div>\n<div id=\"fs-idp48667136\" data-type=\"exercise\">\n<div id=\"fs-idp71409056\" data-type=\"problem\">\n<p id=\"element-936\">To construct the histogram for the data in <a class=\"autogenerated-content\" href=\"#table001\">(Figure)<\/a>, determine the appropriate minimum and maximum <em data-effect=\"italics\">x<\/em> and <em data-effect=\"italics\">y<\/em> values and the scaling. Sketch the histogram. Label the horizontal and vertical axes with words. Include numerical scaling.<\/p>\n<div id=\"eip-idp57691072\" class=\"bc-figure figure\"><span id=\"id9045474\" data-type=\"media\" data-alt=\"An empty graph template for use with this question.\" data-display=\"block\"><img decoding=\"async\" src=\"https:\/\/pressbooks.ccconline.org\/acccomposition1\/wp-content\/uploads\/sites\/83\/2022\/08\/fig-ch02_11_01-1.jpg\" alt=\"An empty graph template for use with this question.\" width=\"350\" data-media-type=\"image\/jpg\" \/><\/span><\/div>\n<\/div>\n<div id=\"fs-idm9409296\" data-type=\"solution\">\n<p id=\"fs-idp4677968\">Answers will vary. One possible histogram is shown:<\/p>\n<div id=\"eip-idp746160\" class=\"bc-figure figure\"><span id=\"eip-idp746416\" data-type=\"media\" data-alt=\"\"><img decoding=\"async\" src=\"https:\/\/pressbooks.ccconline.org\/acccomposition1\/wp-content\/uploads\/sites\/83\/2022\/08\/CNX_Stats_C02_M03_101-1.jpg\" alt=\"\" width=\"380\" data-media-type=\"image\/png\" \/><\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<div id=\"fs-idp52790224\" class=\"free-response\" data-depth=\"1\">\n<h3 data-type=\"title\">Homework<\/h3>\n<div id=\"eip-457\" data-type=\"exercise\">\n<div id=\"fs-idp16459264\" data-type=\"problem\">\n<p id=\"fs-idp16459520\">1) Often, cruise ships conduct all on-board transactions, with the exception of gambling, on a cashless basis. At the end of the cruise, guests pay one bill that covers all onboard transactions. Suppose that 60 single travelers and 70 couples were surveyed as to their on-board bills for a seven-day cruise from Los Angeles to the Mexican Riviera. Following is a summary of the bills for each group.<\/p>\n<table id=\"fs-idp40233520\" summary=\"This table presents the amount of cruise bills by guest type. The first table is for singles with the first column listing the bill amount, the second column listing the frequency, and the third column labeled for relative frequency which is blank.\">\n<caption><span data-type=\"title\">Singles<\/span><\/caption>\n<thead>\n<tr>\n<th>Amount(\\$)<\/th>\n<th>Frequency<\/th>\n<th>Rel. Frequency<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>51\u2013100<\/td>\n<td>5<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>101\u2013150<\/td>\n<td>10<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>151\u2013200<\/td>\n<td>15<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>201\u2013250<\/td>\n<td>15<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>251\u2013300<\/td>\n<td>10<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>301\u2013350<\/td>\n<td>5<\/td>\n<td><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<table id=\"fs-idp2601840\" summary=\"The second table is for couples with the first column listing the bill amount, the second column listing the frequency, and the third column labeled for relative frequency which is blank.\">\n<caption><span data-type=\"title\">Couples<\/span><\/caption>\n<thead>\n<tr>\n<th>Amount(\\$)<\/th>\n<th>Frequency<\/th>\n<th>Rel. Frequency<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>100\u2013150<\/td>\n<td>5<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>201\u2013250<\/td>\n<td>5<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>251\u2013300<\/td>\n<td>5<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>301\u2013350<\/td>\n<td>5<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>351\u2013400<\/td>\n<td>10<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>401\u2013450<\/td>\n<td>10<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>451\u2013500<\/td>\n<td>10<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>501\u2013550<\/td>\n<td>10<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>551\u2013600<\/td>\n<td>5<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>601\u2013650<\/td>\n<td>5<\/td>\n<td><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<ol id=\"fs-idm19738640\" type=\"a\">\n<li>Fill in the relative frequency for each group.<\/li>\n<li>Construct a histogram for the singles group. Scale the <em data-effect=\"italics\">x<\/em>-axis by \\$50 widths. Use relative frequency on the <em data-effect=\"italics\">y<\/em>-axis.<\/li>\n<li>Construct a histogram for the couples group. Scale the <em data-effect=\"italics\">x<\/em>-axis by \\$50 widths. Use relative frequency on the <em data-effect=\"italics\">y<\/em>-axis.<\/li>\n<li>Compare the two graphs:\n<ol id=\"nestlist8\" type=\"i\" data-mark-suffix=\".\">\n<li>List two similarities between the graphs.<\/li>\n<li>List two differences between the graphs.<\/li>\n<li>Overall, are the graphs more similar or different?<\/li>\n<\/ol>\n<\/li>\n<li>Construct a new graph for the couples by hand. Since each couple is paying for two individuals, instead of scaling the <em data-effect=\"italics\">x<\/em>-axis by \\$50, scale it by \\$100. Use relative frequency on the <em data-effect=\"italics\">y<\/em>-axis.<\/li>\n<li>Compare the graph for the singles with the new graph for the couples:\n<ol id=\"nestlist9\" type=\"i\" data-mark-suffix=\".\">\n<li>List two similarities between the graphs.<\/li>\n<li>Overall, are the graphs more similar or different?<\/li>\n<\/ol>\n<\/li>\n<li>How did scaling the couples graph differently change the way you compared it to the singles graph?<\/li>\n<li>Based on the graphs, do you think that individuals spend the same amount, more or less, as singles as they do person by person as a couple? Explain why in one or two complete sentences.<\/li>\n<\/ol>\n<\/div>\n<div id=\"fs-idp34240\" data-type=\"solution\">\n<p id=\"fs-idp71468496\">2) Suppose that three book publishers were interested in the number of fiction paperbacks adult consumers purchase per month. Each publisher conducted a survey. In the survey, adult consumers were asked the number of fiction paperbacks they had purchased the previous month. The results are as follows:<\/p>\n<table id=\"fs-idp71816400\" summary=\"The tables presents the number of books purchased by adults by three different publishers. Publisher A is the first table with number of books in the first column, from 0-8, frequency in the second column, and relative frequency in the third column which is blank.\">\n<caption><span data-type=\"title\">Publisher A<\/span><\/caption>\n<thead>\n<tr>\n<th># of books<\/th>\n<th>Freq.<\/th>\n<th>Rel. Freq.<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>0<\/td>\n<td>10<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>1<\/td>\n<td>12<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>2<\/td>\n<td>16<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>3<\/td>\n<td>12<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>4<\/td>\n<td>8<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>5<\/td>\n<td>6<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>6<\/td>\n<td>2<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>8<\/td>\n<td>2<\/td>\n<td><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<table id=\"fs-idp43657824\" summary=\"Publisher B is the second table with number of books in the first column, from 0-5, 7, 9, frequency in the second column, and relative frequency in the third column which is blank.\">\n<caption><span data-type=\"title\">Publisher B<\/span><\/caption>\n<thead>\n<tr>\n<th># of books<\/th>\n<th>Freq.<\/th>\n<th>Rel. Freq.<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>0<\/td>\n<td>18<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>1<\/td>\n<td>24<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>2<\/td>\n<td>24<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>3<\/td>\n<td>22<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>4<\/td>\n<td>15<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>5<\/td>\n<td>10<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>7<\/td>\n<td>5<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>9<\/td>\n<td>1<\/td>\n<td><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<table id=\"fs-idm93843856\" summary=\"Publisher C is the first table with number of books in the first column, 0-1, 2-3, 4-5, 6-7, 8-9, frequency in the second column, and relative frequency in the third column which is blank.\">\n<caption><span data-type=\"title\">Publisher C<\/span><\/caption>\n<thead>\n<tr>\n<th># of books<\/th>\n<th>Freq.<\/th>\n<th>Rel. Freq.<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>0\u20131<\/td>\n<td>20<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>2\u20133<\/td>\n<td>35<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>4\u20135<\/td>\n<td>12<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>6\u20137<\/td>\n<td>2<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>8\u20139<\/td>\n<td>1<\/td>\n<td><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<ol type=\"a\" data-mark-suffix=\".\">\n<li>Find the relative frequencies for each survey. Write them in the charts.<\/li>\n<li>Using either a graphing calculator, computer, or by hand, use the frequency column to construct a histogram for each publisher&#8217;s survey. For Publishers A and B, make bar widths of one. For Publisher C, make bar widths of two.<\/li>\n<li>In complete sentences, give two reasons why the graphs for Publishers A and B are not identical.<\/li>\n<li>Would you have expected the graph for Publisher C to look like the other two graphs? Why or why not?<\/li>\n<li>Make new histograms for Publisher A and Publisher B. This time, make bar widths of two.<\/li>\n<li>Now, compare the graph for Publisher C to the new graphs for Publishers A and B. Are the graphs more similar or more different? Explain your answer.<\/li>\n<\/ol>\n<\/div>\n<\/div>\n<div id=\"fs-idp73179824\" data-type=\"exercise\">\n<div id=\"fs-idp73180080\" data-type=\"problem\"><\/div>\n<div data-type=\"problem\"><\/div>\n<\/div>\n<p id=\"fs-idp72793344\"><em data-effect=\"italics\">3) Use the following information to answer the next two exercises:<\/em> Suppose one hundred eleven people who shopped in a special t-shirt store were asked the number of t-shirts they own costing more than \\$19 each.<\/p>\n<p><span id=\"fs-idp52038080\" data-type=\"media\" data-alt=\"A histogram showing the results of a survey. Of 111 respondents, 5 own 1 t-shirt costing more than \ud83d\udcb219, 17 own 2, 23 own 3, 39 own 4, 25 own 5, 2 own 6, and no respondents own 7.\" data-display=\"block\"><img decoding=\"async\" src=\"https:\/\/pressbooks.ccconline.org\/acccomposition1\/wp-content\/uploads\/sites\/83\/2022\/08\/fig-ch02_13_11-1.jpg\" alt=\"A histogram showing the results of a survey. Of 111 respondents, 5 own 1 t-shirt costing more than \ud83d\udcb219, 17 own 2, 23 own 3, 39 own 4, 25 own 5, 2 own 6, and no respondents own 7.\" width=\"350\" data-media-type=\"image\/JPG\" \/><\/span><\/p>\n<div id=\"fs-idm24292288\" data-type=\"exercise\">\n<div id=\"fs-idm24292032\" data-type=\"problem\">\n<p id=\"fs-idp64025632\">The percentage of people who own at most three t-shirts costing more than \\$19 each is approximately:<\/p>\n<ol id=\"ni6\" type=\"a\">\n<li>21<\/li>\n<li>59<\/li>\n<li>41<\/li>\n<li>Cannot be determined<\/li>\n<\/ol>\n<p>4)\u00a0 If the data were collected by asking the first 111 people who entered the store, then the type of sampling is:<\/p>\n<ol id=\"ni7\" type=\"a\">\n<li>cluster<\/li>\n<li>simple random<\/li>\n<li>stratified<\/li>\n<li>convenience<\/li>\n<\/ol>\n<\/div>\n<div id=\"id6146639\" data-type=\"solution\"><\/div>\n<\/div>\n<div id=\"element-195\" data-type=\"exercise\">\n<div id=\"id3671758\" data-type=\"problem\"><\/div>\n<\/div>\n<div id=\"fs-idp13768528\" data-type=\"exercise\">\n<div id=\"fs-idm31496800\" data-type=\"problem\">\n<p id=\"fs-idm31496544\">5) Following are the 2010 obesity rates by U.S. states and Washington, DC.<\/p>\n<table id=\"Obesity_Rates_2008\" summary=\"The tables represents United States states and Obesity Rates. The first column and third columns list the names of the states and the second and fourth columns list Obesity Rates.\">\n<thead>\n<tr>\n<th>State<\/th>\n<th>Percent (%)<\/th>\n<th>State<\/th>\n<th>Percent (%)<\/th>\n<th>State<\/th>\n<th>Percent (%)<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Alabama<\/td>\n<td>32.2<\/td>\n<td>Kentucky<\/td>\n<td>31.3<\/td>\n<td>North Dakota<\/td>\n<td>27.2<\/td>\n<\/tr>\n<tr>\n<td>Alaska<\/td>\n<td>24.5<\/td>\n<td>Louisiana<\/td>\n<td>31.0<\/td>\n<td>Ohio<\/td>\n<td>29.2<\/td>\n<\/tr>\n<tr>\n<td>Arizona<\/td>\n<td>24.3<\/td>\n<td>Maine<\/td>\n<td>26.8<\/td>\n<td>Oklahoma<\/td>\n<td>30.4<\/td>\n<\/tr>\n<tr>\n<td>Arkansas<\/td>\n<td>30.1<\/td>\n<td>Maryland<\/td>\n<td>27.1<\/td>\n<td>Oregon<\/td>\n<td>26.8<\/td>\n<\/tr>\n<tr>\n<td>California<\/td>\n<td>24.0<\/td>\n<td>Massachusetts<\/td>\n<td>23.0<\/td>\n<td>Pennsylvania<\/td>\n<td>28.6<\/td>\n<\/tr>\n<tr>\n<td>Colorado<\/td>\n<td>21.0<\/td>\n<td>Michigan<\/td>\n<td>30.9<\/td>\n<td>Rhode Island<\/td>\n<td>25.5<\/td>\n<\/tr>\n<tr>\n<td>Connecticut<\/td>\n<td>22.5<\/td>\n<td>Minnesota<\/td>\n<td>24.8<\/td>\n<td>South Carolina<\/td>\n<td>31.5<\/td>\n<\/tr>\n<tr>\n<td>Delaware<\/td>\n<td>28.0<\/td>\n<td>Mississippi<\/td>\n<td>34.0<\/td>\n<td>South Dakota<\/td>\n<td>27.3<\/td>\n<\/tr>\n<tr>\n<td>Washington, DC<\/td>\n<td>22.2<\/td>\n<td>Missouri<\/td>\n<td>30.5<\/td>\n<td>Tennessee<\/td>\n<td>30.8<\/td>\n<\/tr>\n<tr>\n<td>Florida<\/td>\n<td>26.6<\/td>\n<td>Montana<\/td>\n<td>23.0<\/td>\n<td>Texas<\/td>\n<td>31.0<\/td>\n<\/tr>\n<tr>\n<td>Georgia<\/td>\n<td>29.6<\/td>\n<td>Nebraska<\/td>\n<td>26.9<\/td>\n<td>Utah<\/td>\n<td>22.5<\/td>\n<\/tr>\n<tr>\n<td>Hawaii<\/td>\n<td>22.7<\/td>\n<td>Nevada<\/td>\n<td>22.4<\/td>\n<td>Vermont<\/td>\n<td>23.2<\/td>\n<\/tr>\n<tr>\n<td>Idaho<\/td>\n<td>26.5<\/td>\n<td>New Hampshire<\/td>\n<td>25.0<\/td>\n<td>Virginia<\/td>\n<td>26.0<\/td>\n<\/tr>\n<tr>\n<td>Illinois<\/td>\n<td>28.2<\/td>\n<td>New Jersey<\/td>\n<td>23.8<\/td>\n<td>Washington<\/td>\n<td>25.5<\/td>\n<\/tr>\n<tr>\n<td>Indiana<\/td>\n<td>29.6<\/td>\n<td>New Mexico<\/td>\n<td>25.1<\/td>\n<td>West Virginia<\/td>\n<td>32.5<\/td>\n<\/tr>\n<tr>\n<td>Iowa<\/td>\n<td>28.4<\/td>\n<td>New York<\/td>\n<td>23.9<\/td>\n<td>Wisconsin<\/td>\n<td>26.3<\/td>\n<\/tr>\n<tr>\n<td>Kansas<\/td>\n<td>29.4<\/td>\n<td>North Carolina<\/td>\n<td>27.8<\/td>\n<td>Wyoming<\/td>\n<td>25.1<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p id=\"fs-idp22466816\">Construct a bar graph of obesity rates of your state and the four states closest to your state. Hint: Label the <em data-effect=\"italics\">x<\/em>-axis with the states.<\/p>\n<p>6) Student grades on a chemistry exam were: 77,\u00a0 78,\u00a0 76,\u00a0 81,\u00a0 86,\u00a0 51,\u00a0 79,\u00a0 82,\u00a0 84,\u00a0 99<\/p>\n<ol id=\"fs-idp96417840\" type=\"a\">\n<li>Construct a stem-and-leaf plot of the data.<\/li>\n<li>Are there any potential outliers? If so, which scores are they? Why do you consider them outliers?<\/li>\n<\/ol>\n<\/div>\n<div id=\"fs-idp3779952\" data-type=\"solution\">\n<p><strong>Answers to odd questions<\/strong><\/p>\n<p>1)<\/p>\n<div data-type=\"solution\">\n<table id=\"Singles\" summary=\"\">\n<caption><span data-type=\"title\">Singles<\/span><\/caption>\n<thead>\n<tr>\n<th>Amount(\\$)<\/th>\n<th>Frequency<\/th>\n<th>Relative Frequency<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>51\u2013100<\/td>\n<td>5<\/td>\n<td>0.08<\/td>\n<\/tr>\n<tr>\n<td>101\u2013150<\/td>\n<td>10<\/td>\n<td>0.17<\/td>\n<\/tr>\n<tr>\n<td>151\u2013200<\/td>\n<td>15<\/td>\n<td>0.25<\/td>\n<\/tr>\n<tr>\n<td>201\u2013250<\/td>\n<td>15<\/td>\n<td>0.25<\/td>\n<\/tr>\n<tr>\n<td>251\u2013300<\/td>\n<td>10<\/td>\n<td>0.17<\/td>\n<\/tr>\n<tr>\n<td>301\u2013350<\/td>\n<td>5<\/td>\n<td>0.08<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<table id=\"Couples\" summary=\"\">\n<caption><span data-type=\"title\">Couples<\/span><\/caption>\n<thead>\n<tr>\n<th>Amount(\\$)<\/th>\n<th>Frequency<\/th>\n<th>Relative Frequency<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>100\u2013150<\/td>\n<td>5<\/td>\n<td>0.07<\/td>\n<\/tr>\n<tr>\n<td>201\u2013250<\/td>\n<td>5<\/td>\n<td>0.07<\/td>\n<\/tr>\n<tr>\n<td>251\u2013300<\/td>\n<td>5<\/td>\n<td>0.07<\/td>\n<\/tr>\n<tr>\n<td>301\u2013350<\/td>\n<td>5<\/td>\n<td>0.07<\/td>\n<\/tr>\n<tr>\n<td>351\u2013400<\/td>\n<td>10<\/td>\n<td>0.14<\/td>\n<\/tr>\n<tr>\n<td>401\u2013450<\/td>\n<td>10<\/td>\n<td>0.14<\/td>\n<\/tr>\n<tr>\n<td>451\u2013500<\/td>\n<td>10<\/td>\n<td>0.14<\/td>\n<\/tr>\n<tr>\n<td>501\u2013550<\/td>\n<td>10<\/td>\n<td>0.14<\/td>\n<\/tr>\n<tr>\n<td>551\u2013600<\/td>\n<td>5<\/td>\n<td>0.07<\/td>\n<\/tr>\n<tr>\n<td>601\u2013650<\/td>\n<td>5<\/td>\n<td>0.07<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<ol id=\"fs-idp1651760\" type=\"a\" data-mark-suffix=\".\">\n<li>See <a class=\"autogenerated-content\" href=\"#Singles\">(Figure)<\/a> and <a class=\"autogenerated-content\" href=\"#Couples\">(Figure)<\/a>.<\/li>\n<li>In the following histogram data values that fall on the right boundary are counted in the class interval, while values that fall on the left boundary are not counted (with the exception of the first interval where both boundary values are included).\n<div id=\"eip-idp10303088\" class=\"bc-figure figure\"><span id=\"fs-idp32280736\" data-type=\"media\" data-display=\"block\" data-alt=\"This is a histogram that matches the supplied data supplied for singles. The x-axis shows the total charges in intervals of 50 from 50 to 350, and the y-axis shows the relative frequency in increments of 0.05 from 0 to 0.3.\"><img decoding=\"async\" src=\"https:\/\/pressbooks.ccconline.org\/acccomposition1\/wp-content\/uploads\/sites\/83\/2022\/08\/CNX_Stats_C02_M03_106-1.jpg\" alt=\"This is a histogram that matches the supplied data supplied for singles. The x-axis shows the total charges in intervals of 50 from 50 to 350, and the y-axis shows the relative frequency in increments of 0.05 from 0 to 0.3.\" width=\"350\" data-media-type=\"image\/jpg\" \/><\/span><\/div>\n<\/li>\n<li>In the following histogram, the data values that fall on the right boundary are counted in the class interval, while values that fall on the left boundary are not counted (with the exception of the first interval where values on both boundaries are included).\n<div id=\"eip-idp116473376\" class=\"bc-figure figure\"><span id=\"fs-idm4934000\" data-type=\"media\" data-display=\"block\" data-alt=\"This is a histogram that matches the supplied data for couples. The x-axis shows the total charges in intervals of 50 from 100 to 650, and the y-axis shows the relative frequency in increments of 0.02 from 0 to 0.16.\"><img decoding=\"async\" src=\"https:\/\/pressbooks.ccconline.org\/acccomposition1\/wp-content\/uploads\/sites\/83\/2022\/08\/CNX_Stats_C02_M03_107-1.jpg\" alt=\"This is a histogram that matches the supplied data for couples. The x-axis shows the total charges in intervals of 50 from 100 to 650, and the y-axis shows the relative frequency in increments of 0.02 from 0 to 0.16.\" width=\"350\" data-media-type=\"image\/jpg\" \/><\/span><\/div>\n<\/li>\n<li>Compare the two graphs:\n<ol id=\"fs-idm1796080\" type=\"i\" data-mark-suffix=\".\">\n<li>Answers may vary. Possible answers include:\n<ul id=\"fs-idp12795120\">\n<li>Both graphs have a single peak.<\/li>\n<li>Both graphs use class intervals with width equal to ?50.<\/li>\n<\/ul>\n<\/li>\n<li>Answers may vary. Possible answers include:\n<ul id=\"fs-idm10655584\">\n<li>The couples graph has a class interval with no values.<\/li>\n<li>It takes almost twice as many class intervals to display the data for couples.<\/li>\n<\/ul>\n<\/li>\n<li>Answers may vary. Possible answers include: The graphs are more similar than different because the overall patterns for the graphs are the same.<\/li>\n<\/ol>\n<\/li>\n<li>Check student&#8217;s solution.<\/li>\n<li>Compare the graph for the Singles with the new graph for the Couples:\n<ol id=\"fs-idp17546528\" type=\"i\" data-mark-suffix=\".\">\n<li style=\"list-style-type: none\">\n<ul id=\"fs-idp13357024\">\n<li>Both graphs have a single peak.<\/li>\n<li>Both graphs display 6 class intervals.<\/li>\n<li>Both graphs show the same general pattern.<\/li>\n<\/ul>\n<\/li>\n<li>Answers may vary. Possible answers include: Although the width of the class intervals for couples is double that of the class intervals for singles, the graphs are more similar than they are different.<\/li>\n<\/ol>\n<\/li>\n<li>Answers may vary. Possible answers include: You are able to compare the graphs interval by interval. It is easier to compare the overall patterns with the new scale on the Couples graph. Because a couple represents two individuals, the new scale leads to a more accurate comparison.<\/li>\n<li>Answers may vary. Possible answers include: Based on the histograms, it seems that spending does not vary much from singles to individuals who are part of a couple. The overall patterns are the same. The range of spending for couples is approximately double the range for individuals.<\/li>\n<\/ol>\n<p>3) c<\/p>\n<p>5) Answers will vary.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div id=\"fs-idp49136992\" data-type=\"exercise\">\n<div id=\"fs-idp49137248\" data-type=\"problem\">\n<p id=\"fs-idp5295728\">\n<\/div>\n<\/div>\n<div id=\"eip-440\" data-type=\"exercise\">\n<div id=\"eip-27\" data-type=\"solution\"><\/div>\n<\/div>\n<\/div>\n","protected":false},"author":32,"menu_order":3,"template":"","meta":{"pb_show_title":"","pb_short_title":"","pb_subtitle":"","pb_authors":[],"pb_section_license":""},"chapter-type":[],"contributor":[],"license":[],"class_list":["post-62","chapter","type-chapter","status-publish","hentry"],"part":51,"_links":{"self":[{"href":"https:\/\/pressbooks.ccconline.org\/accintrostats\/wp-json\/pressbooks\/v2\/chapters\/62","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pressbooks.ccconline.org\/accintrostats\/wp-json\/pressbooks\/v2\/chapters"}],"about":[{"href":"https:\/\/pressbooks.ccconline.org\/accintrostats\/wp-json\/wp\/v2\/types\/chapter"}],"author":[{"embeddable":true,"href":"https:\/\/pressbooks.ccconline.org\/accintrostats\/wp-json\/wp\/v2\/users\/32"}],"version-history":[{"count":8,"href":"https:\/\/pressbooks.ccconline.org\/accintrostats\/wp-json\/pressbooks\/v2\/chapters\/62\/revisions"}],"predecessor-version":[{"id":701,"href":"https:\/\/pressbooks.ccconline.org\/accintrostats\/wp-json\/pressbooks\/v2\/chapters\/62\/revisions\/701"}],"part":[{"href":"https:\/\/pressbooks.ccconline.org\/accintrostats\/wp-json\/pressbooks\/v2\/parts\/51"}],"metadata":[{"href":"https:\/\/pressbooks.ccconline.org\/accintrostats\/wp-json\/pressbooks\/v2\/chapters\/62\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/pressbooks.ccconline.org\/accintrostats\/wp-json\/wp\/v2\/media?parent=62"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/pressbooks.ccconline.org\/accintrostats\/wp-json\/pressbooks\/v2\/chapter-type?post=62"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/pressbooks.ccconline.org\/accintrostats\/wp-json\/wp\/v2\/contributor?post=62"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/pressbooks.ccconline.org\/accintrostats\/wp-json\/wp\/v2\/license?post=62"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}