{"id":18,"date":"2022-05-18T16:35:41","date_gmt":"2022-05-18T16:35:41","guid":{"rendered":"https:\/\/pressbooks.ccconline.org\/accintrostats\/front-matter\/preface\/"},"modified":"2022-11-08T15:36:11","modified_gmt":"2022-11-08T15:36:11","slug":"preface","status":"publish","type":"front-matter","link":"https:\/\/pressbooks.ccconline.org\/accintrostats\/front-matter\/preface\/","title":{"raw":"Preface","rendered":"Preface"},"content":{"raw":"[latexpage]\r\n
\r\n

Learning Objectives<\/h3>\r\nIntroductory Statistics is intended for the one-semester introduction to statistics course for students who are not mathematics or engineering majors. It focuses on the interpretation of statistical results, especially in real world settings, and assumes that students have an understanding of intermediate algebra. In addition to end of section practice and homework sets, examples of each topic are explained step-by-step throughout the text and followed by a Try It problem that is designed as extra practice for students. This book also includes collaborative exercises and statistics labs designed to give students the opportunity to work together and explore key concepts. To support today\u2019s student in understanding technology, this book features TI 83, 83+, 84, or 84+ calculator instructions at strategic points throughout. While the book has been built so that each chapter builds on the previous, it can be rearranged to accommodate any instructor\u2019s particular needs.\r\n\r\n<\/div>\r\n

Welcome to Introductory Statistics<\/em>, an OpenStax resource. This textbook was written to increase student access to high-quality learning materials, maintaining highest standards of academic rigor at little to no cost.<\/p>\r\n

The foundation of this textbook is Collaborative Statistics<\/em>, by Barbara Illowsky and Susan Dean. Additional topics, examples, and innovations in terminology and practical applications have been added, all with a goal of increasing relevance and accessibility for students.<\/p>\r\n\r\n

\r\n

About OpenStax<\/h3>\r\n

OpenStax is a nonprofit based at Rice University, and it\u2019s our mission to improve student access to education. Our first openly licensed college textbook was published in 2012, and our library has since scaled to over 25 books for college and AP\u00ae<\/sup> courses used by hundreds of thousands of students. OpenStax Tutor, our low-cost personalized learning tool, is being used in college courses throughout the country. Through our partnerships with philanthropic foundations and our alliance with other educational resource organizations, OpenStax is breaking down the most common barriers to learning and empowering students and instructors to succeed.<\/p>\r\n\r\n<\/div>\r\n

\r\n

About OpenStax's resources<\/h3>\r\n
\r\n

Errata<\/span><\/p>\r\n\r\n<\/div>\r\n

\r\n

All OpenStax textbooks undergo a rigorous review process. However, like any professional-grade textbook, errors sometimes occur. Since our books are web based, we can make updates periodically when deemed pedagogically necessary. If you have a correction to suggest, submit it through the link on your book page on OpenStax.org. Subject matter experts review all errata suggestions. OpenStax is committed to remaining transparent about all updates, so you will also find a list of past errata changes on your book page on OpenStax.org.<\/p>\r\n\r\n<\/div>\r\n

\r\n

Format<\/h4>\r\n

You can access this textbook for free in web view or PDF through Pressbooks.<\/p>\r\n\r\n<\/div>\r\n<\/div>\r\n

\r\n

About Introductory Statistics<\/em><\/h3>\r\n

Introductory Statistics<\/em> follows scope and sequence requirements of a one-semester introduction to statistics course and is geared toward students majoring in fields other than math or engineering. The text assumes some knowledge of intermediate algebra and focuses on statistics application over theory. Introductory Statistics<\/em> includes innovative practical applications that make the text relevant and accessible, as well as collaborative exercises, technology integration problems, and statistics labs.<\/p>\r\n\r\n

\r\n

Coverage and scope<\/h4>\r\n

Chapter 1 Sampling and Data<\/span><\/p>\r\n\r\n

\r\n

Chapter 2 Descriptive Statistics\r\n<\/span> Chapter 3 Linear Regression and Correlation\r\n<\/span> Chapter 4 Probability Topics\r\n<\/span> Chapter 5 Discrete Random Variables\r\n<\/span> Chapter 6 Continuous Random Variables\r\n<\/span> Chapter 7 The Normal Distribution\r\n<\/span> Chapter 8 The Central Limit Theorem\r\n<\/span> Chapter 9 Confidence Intervals\r\n<\/span> Chapter 10 Hypothesis Testing with One Sample\r\n<\/span> Chapter 11 Hypothesis Testing with Two Samples\r\n<\/span><\/p>\r\n\r\n<\/div>\r\n

\r\n

Pedagogical foundation and features<\/h4>\r\n
    \r\n \t
  • Examples<\/strong> are placed strategically throughout the text to show students the step-by-step process of interpreting and solving statistical problems. To keep the text relevant for students, the examples are drawn from a broad spectrum of practical topics, including examples about college life and learning, health and medicine, retail and business, and sports and entertainment.<\/li>\r\n \t
  • Try It<\/strong> practice problems immediately follow many examples and give students the opportunity to practice as they read the text. They are usually based on practical and familiar topics, like the Examples themselves<\/strong>.<\/li>\r\n \t
  • Collaborative Exercises<\/strong> provide an in-class scenario for students to work together to explore presented concepts.<\/li>\r\n \t
  • Using the TI-83, 83+, 84, 84+ Calculator<\/strong> shows students step-by-step instructions to input problems into their calculator.<\/li>\r\n \t
  • The Technology Icon<\/strong> indicates where the use of a TI calculator or computer software is recommended.<\/li>\r\n \t
  • Practice, Homework, and Bringing It Together<\/strong> problems give the students problems at various degrees of difficulty while also including real-world scenarios to engage students.<\/li>\r\n<\/ul>\r\n<\/div>\r\n
    \r\n

    Statistics labs<\/h4>\r\n

    These innovative activities were developed by Barbara Illowsky and Susan Dean in order to offer students the experience of designing, implementing, and interpreting statistical analyses. They are drawn from actual experiments and data-gathering processes and offer a unique hands-on and collaborative experience. The labs provide a foundation for further learning and classroom interaction that will produce a meaningful application of statistics.<\/p>\r\n

    Statistics Labs appear at the end of each chapter and begin with student learning outcomes, general estimates for time on task, and any global implementation notes. Students are then provided with step-by-step guidance, including sample data tables and calculation prompts. The detailed assistance will help the students successfully apply the concepts in the text and lay the groundwork for future collaborative or individual work.<\/p>\r\n\r\n<\/div>\r\n<\/div>\r\n

    \r\n
    \r\n\r\n \r\n

    Partner resources<\/span><\/p>\r\n\r\n<\/div>\r\n

    \r\n

    OpenStax Partners are our allies in the mission to make high-quality learning materials affordable and accessible to students and instructors everywhere. Their tools integrate seamlessly with our OpenStax titles at a low cost. To access the partner resources for your text, visit your book page on OpenStax.org.<\/p>\r\n\r\n<\/div>\r\n<\/div>\r\n

    \r\n

    About the authors<\/h3>\r\n
    \r\n

    Senior contributing authors<\/h4>\r\n

    Barbara Illowsky, De Anza College<\/strong>\r\n<\/span> Susan Dean, De Anza College<\/strong><\/p>\r\n\r\n<\/div>\r\n

    \r\n

    Contributing authors<\/h4>\r\n

    Birgit Aquilonius, West Valley College\r\n<\/span> Charles Ashbacher, Upper Iowa University, Cedar Rapids\r\n<\/span> Abraham Biggs, Broward Community College\r\n<\/span> Daniel Birmajer, Nazareth College\r\n<\/span> Roberta Bloom, De Anza College\r\n<\/span> Bryan Blount, Kentucky Wesleyan College\r\n<\/span> Ernest Bonat, Portland Community College\r\n<\/span> Sarah Boslaugh, Kennesaw State University\r\n<\/span> David Bosworth, Hutchinson Community College\r\n<\/span> Sheri Boyd, Rollins College\r\n<\/span> George Bratton, University of Central Arkansas\r\n<\/span> Jing Chang, College of Saint Mary \r\n<\/span> Laurel Chiappetta, University of Pittsburgh\r\n<\/span> Lenore Desilets, De Anza College\r\n<\/span> Matthew Einsohn, Prescott College\r\n<\/span> Ann Flanigan, Kapiolani Community College\r\n<\/span> David French, Tidewater Community College\r\n<\/span> Mo Geraghty, De Anza College\r\n<\/span> Larry Green, Lake Tahoe Community College\r\n<\/span> Michael Greenwich, College of Southern Nevada\r\n<\/span> Inna Grushko, De Anza College\r\n<\/span> Valier Hauber, De Anza College\r\n<\/span> Janice Hector, De Anza College\r\n<\/span> Jim Helmreich, Marist College\r\n<\/span> Robert Henderson, Stephen F. Austin State University\r\n<\/span> Mel Jacobsen, Snow College\r\n<\/span> Mary Jo Kane, De Anza College\r\n<\/span> Lynette Kenyon, Collin County Community College\r\n<\/span> Charles Klein, De Anza College\r\n<\/span> Alexander Kolovos\r\n<\/span> Sheldon Lee, Viterbo University\r\n<\/span> Sara Lenhart, Christopher Newport University\r\n<\/span> Wendy Lightheart, Lane Community College\r\n<\/span> Vladimir Logvenenko, De Anza College\r\n<\/span> Jim Lucas, De Anza College\r\n<\/span> Lisa Markus, De Anza College\r\n<\/span> Miriam Masullo, SUNY Purchase\r\n<\/span> Diane Mathios, De Anza College\r\n<\/span> Robert McDevitt, Germanna Community College\r\n<\/span> Mark Mills, Central College\r\n<\/span> Cindy Moss, Skyline College\r\n<\/span> Nydia Nelson, St. Petersburg College\r\n<\/span> Benjamin Ngwudike, Jackson State University\r\n<\/span> Jonathan Oaks, Macomb Community College\r\n<\/span> Carol Olmstead, De Anza College\r\n<\/span> Adam Pennell, Greensboro College\r\n<\/span> Kathy Plum, De Anza College\r\n<\/span> Lisa Rosenberg, Elon University\r\n<\/span> Sudipta Roy, Kankakee Community College\r\n<\/span> Javier Rueda, De Anza College\r\n<\/span> Yvonne Sandoval, Pima Community College\r\n<\/span> Rupinder Sekhon, De Anza College\r\n<\/span> Travis Short, St. Petersburg College\r\n<\/span> Frank Snow, De Anza College\r\n<\/span> Abdulhamid Sukar, Cameron University\r\n<\/span> Jeffery Taub, Maine Maritime Academy\r\n<\/span> Mary Teegarden, San Diego Mesa College\r\n<\/span> John Thomas, College of Lake County\r\n<\/span> Philip J. Verrecchia, York College of Pennsylvania\r\n<\/span> Dennis Walsh, Middle Tennessee State University\r\n<\/span> Cheryl Wartman, University of Prince Edward Island\r\n<\/span> Carol Weideman, St. Petersburg College\r\n<\/span> Andrew Wiesner, Pennsylvania State University<\/p>\r\nKelli McCarthy, Arapahoe Community College\r\n\r\n<\/div>\r\n<\/div>\r\n<\/div>","rendered":"

    [latexpage]<\/p>\n

    \n

    Learning Objectives<\/h3>\n

    Introductory Statistics is intended for the one-semester introduction to statistics course for students who are not mathematics or engineering majors. It focuses on the interpretation of statistical results, especially in real world settings, and assumes that students have an understanding of intermediate algebra. In addition to end of section practice and homework sets, examples of each topic are explained step-by-step throughout the text and followed by a Try It problem that is designed as extra practice for students. This book also includes collaborative exercises and statistics labs designed to give students the opportunity to work together and explore key concepts. To support today\u2019s student in understanding technology, this book features TI 83, 83+, 84, or 84+ calculator instructions at strategic points throughout. While the book has been built so that each chapter builds on the previous, it can be rearranged to accommodate any instructor\u2019s particular needs.<\/p>\n<\/div>\n

    Welcome to Introductory Statistics<\/em>, an OpenStax resource. This textbook was written to increase student access to high-quality learning materials, maintaining highest standards of academic rigor at little to no cost.<\/p>\n

    The foundation of this textbook is Collaborative Statistics<\/em>, by Barbara Illowsky and Susan Dean. Additional topics, examples, and innovations in terminology and practical applications have been added, all with a goal of increasing relevance and accessibility for students.<\/p>\n

    \n

    About OpenStax<\/h3>\n

    OpenStax is a nonprofit based at Rice University, and it\u2019s our mission to improve student access to education. Our first openly licensed college textbook was published in 2012, and our library has since scaled to over 25 books for college and AP\u00ae<\/sup> courses used by hundreds of thousands of students. OpenStax Tutor, our low-cost personalized learning tool, is being used in college courses throughout the country. Through our partnerships with philanthropic foundations and our alliance with other educational resource organizations, OpenStax is breaking down the most common barriers to learning and empowering students and instructors to succeed.<\/p>\n<\/div>\n

    \n

    About OpenStax’s resources<\/h3>\n
    \n

    Errata<\/span><\/p>\n<\/div>\n

    \n

    All OpenStax textbooks undergo a rigorous review process. However, like any professional-grade textbook, errors sometimes occur. Since our books are web based, we can make updates periodically when deemed pedagogically necessary. If you have a correction to suggest, submit it through the link on your book page on OpenStax.org. Subject matter experts review all errata suggestions. OpenStax is committed to remaining transparent about all updates, so you will also find a list of past errata changes on your book page on OpenStax.org.<\/p>\n<\/div>\n

    \n

    Format<\/h4>\n

    You can access this textbook for free in web view or PDF through Pressbooks.<\/p>\n<\/div>\n<\/div>\n

    \n

    About Introductory Statistics<\/em><\/h3>\n

    Introductory Statistics<\/em> follows scope and sequence requirements of a one-semester introduction to statistics course and is geared toward students majoring in fields other than math or engineering. The text assumes some knowledge of intermediate algebra and focuses on statistics application over theory. Introductory Statistics<\/em> includes innovative practical applications that make the text relevant and accessible, as well as collaborative exercises, technology integration problems, and statistics labs.<\/p>\n

    \n

    Coverage and scope<\/h4>\n

    Chapter 1 Sampling and Data<\/span><\/p>\n

    \n

    Chapter 2 Descriptive Statistics
    \n<\/span> Chapter 3 Linear Regression and Correlation
    \n<\/span> Chapter 4 Probability Topics
    \n<\/span> Chapter 5 Discrete Random Variables
    \n<\/span> Chapter 6 Continuous Random Variables
    \n<\/span> Chapter 7 The Normal Distribution
    \n<\/span> Chapter 8 The Central Limit Theorem
    \n<\/span> Chapter 9 Confidence Intervals
    \n<\/span> Chapter 10 Hypothesis Testing with One Sample
    \n<\/span> Chapter 11 Hypothesis Testing with Two Samples
    \n<\/span><\/p>\n<\/div>\n

    \n

    Pedagogical foundation and features<\/h4>\n
      \n
    • Examples<\/strong> are placed strategically throughout the text to show students the step-by-step process of interpreting and solving statistical problems. To keep the text relevant for students, the examples are drawn from a broad spectrum of practical topics, including examples about college life and learning, health and medicine, retail and business, and sports and entertainment.<\/li>\n
    • Try It<\/strong> practice problems immediately follow many examples and give students the opportunity to practice as they read the text. They are usually based on practical and familiar topics, like the Examples themselves<\/strong>.<\/li>\n
    • Collaborative Exercises<\/strong> provide an in-class scenario for students to work together to explore presented concepts.<\/li>\n
    • Using the TI-83, 83+, 84, 84+ Calculator<\/strong> shows students step-by-step instructions to input problems into their calculator.<\/li>\n
    • The Technology Icon<\/strong> indicates where the use of a TI calculator or computer software is recommended.<\/li>\n
    • Practice, Homework, and Bringing It Together<\/strong> problems give the students problems at various degrees of difficulty while also including real-world scenarios to engage students.<\/li>\n<\/ul>\n<\/div>\n
      \n

      Statistics labs<\/h4>\n

      These innovative activities were developed by Barbara Illowsky and Susan Dean in order to offer students the experience of designing, implementing, and interpreting statistical analyses. They are drawn from actual experiments and data-gathering processes and offer a unique hands-on and collaborative experience. The labs provide a foundation for further learning and classroom interaction that will produce a meaningful application of statistics.<\/p>\n

      Statistics Labs appear at the end of each chapter and begin with student learning outcomes, general estimates for time on task, and any global implementation notes. Students are then provided with step-by-step guidance, including sample data tables and calculation prompts. The detailed assistance will help the students successfully apply the concepts in the text and lay the groundwork for future collaborative or individual work.<\/p>\n<\/div>\n<\/div>\n

      \n
      \n

       <\/p>\n

      Partner resources<\/span><\/p>\n<\/div>\n

      \n

      OpenStax Partners are our allies in the mission to make high-quality learning materials affordable and accessible to students and instructors everywhere. Their tools integrate seamlessly with our OpenStax titles at a low cost. To access the partner resources for your text, visit your book page on OpenStax.org.<\/p>\n<\/div>\n<\/div>\n

      \n

      About the authors<\/h3>\n
      \n

      Senior contributing authors<\/h4>\n

      Barbara Illowsky, De Anza College<\/strong>
      \n<\/span> Susan Dean, De Anza College<\/strong><\/p>\n<\/div>\n

      \n

      Contributing authors<\/h4>\n

      Birgit Aquilonius, West Valley College
      \n<\/span> Charles Ashbacher, Upper Iowa University, Cedar Rapids
      \n<\/span> Abraham Biggs, Broward Community College
      \n<\/span> Daniel Birmajer, Nazareth College
      \n<\/span> Roberta Bloom, De Anza College
      \n<\/span> Bryan Blount, Kentucky Wesleyan College
      \n<\/span> Ernest Bonat, Portland Community College
      \n<\/span> Sarah Boslaugh, Kennesaw State University
      \n<\/span> David Bosworth, Hutchinson Community College
      \n<\/span> Sheri Boyd, Rollins College
      \n<\/span> George Bratton, University of Central Arkansas
      \n<\/span> Jing Chang, College of Saint Mary
      \n<\/span> Laurel Chiappetta, University of Pittsburgh
      \n<\/span> Lenore Desilets, De Anza College
      \n<\/span> Matthew Einsohn, Prescott College
      \n<\/span> Ann Flanigan, Kapiolani Community College
      \n<\/span> David French, Tidewater Community College
      \n<\/span> Mo Geraghty, De Anza College
      \n<\/span> Larry Green, Lake Tahoe Community College
      \n<\/span> Michael Greenwich, College of Southern Nevada
      \n<\/span> Inna Grushko, De Anza College
      \n<\/span> Valier Hauber, De Anza College
      \n<\/span> Janice Hector, De Anza College
      \n<\/span> Jim Helmreich, Marist College
      \n<\/span> Robert Henderson, Stephen F. Austin State University
      \n<\/span> Mel Jacobsen, Snow College
      \n<\/span> Mary Jo Kane, De Anza College
      \n<\/span> Lynette Kenyon, Collin County Community College
      \n<\/span> Charles Klein, De Anza College
      \n<\/span> Alexander Kolovos
      \n<\/span> Sheldon Lee, Viterbo University
      \n<\/span> Sara Lenhart, Christopher Newport University
      \n<\/span> Wendy Lightheart, Lane Community College
      \n<\/span> Vladimir Logvenenko, De Anza College
      \n<\/span> Jim Lucas, De Anza College
      \n<\/span> Lisa Markus, De Anza College
      \n<\/span> Miriam Masullo, SUNY Purchase
      \n<\/span> Diane Mathios, De Anza College
      \n<\/span> Robert McDevitt, Germanna Community College
      \n<\/span> Mark Mills, Central College
      \n<\/span> Cindy Moss, Skyline College
      \n<\/span> Nydia Nelson, St. Petersburg College
      \n<\/span> Benjamin Ngwudike, Jackson State University
      \n<\/span> Jonathan Oaks, Macomb Community College
      \n<\/span> Carol Olmstead, De Anza College
      \n<\/span> Adam Pennell, Greensboro College
      \n<\/span> Kathy Plum, De Anza College
      \n<\/span> Lisa Rosenberg, Elon University
      \n<\/span> Sudipta Roy, Kankakee Community College
      \n<\/span> Javier Rueda, De Anza College
      \n<\/span> Yvonne Sandoval, Pima Community College
      \n<\/span> Rupinder Sekhon, De Anza College
      \n<\/span> Travis Short, St. Petersburg College
      \n<\/span> Frank Snow, De Anza College
      \n<\/span> Abdulhamid Sukar, Cameron University
      \n<\/span> Jeffery Taub, Maine Maritime Academy
      \n<\/span> Mary Teegarden, San Diego Mesa College
      \n<\/span> John Thomas, College of Lake County
      \n<\/span> Philip J. Verrecchia, York College of Pennsylvania
      \n<\/span> Dennis Walsh, Middle Tennessee State University
      \n<\/span> Cheryl Wartman, University of Prince Edward Island
      \n<\/span> Carol Weideman, St. Petersburg College
      \n<\/span> Andrew Wiesner, Pennsylvania State University<\/p>\n

      Kelli McCarthy, Arapahoe Community College<\/p>\n<\/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":""},"front-matter-type":[],"contributor":[],"license":[],"class_list":["post-18","front-matter","type-front-matter","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/pressbooks.ccconline.org\/accintrostats\/wp-json\/pressbooks\/v2\/front-matter\/18","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pressbooks.ccconline.org\/accintrostats\/wp-json\/pressbooks\/v2\/front-matter"}],"about":[{"href":"https:\/\/pressbooks.ccconline.org\/accintrostats\/wp-json\/wp\/v2\/types\/front-matter"}],"author":[{"embeddable":true,"href":"https:\/\/pressbooks.ccconline.org\/accintrostats\/wp-json\/wp\/v2\/users\/32"}],"version-history":[{"count":4,"href":"https:\/\/pressbooks.ccconline.org\/accintrostats\/wp-json\/pressbooks\/v2\/front-matter\/18\/revisions"}],"predecessor-version":[{"id":632,"href":"https:\/\/pressbooks.ccconline.org\/accintrostats\/wp-json\/pressbooks\/v2\/front-matter\/18\/revisions\/632"}],"metadata":[{"href":"https:\/\/pressbooks.ccconline.org\/accintrostats\/wp-json\/pressbooks\/v2\/front-matter\/18\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/pressbooks.ccconline.org\/accintrostats\/wp-json\/wp\/v2\/media?parent=18"}],"wp:term":[{"taxonomy":"front-matter-type","embeddable":true,"href":"https:\/\/pressbooks.ccconline.org\/accintrostats\/wp-json\/pressbooks\/v2\/front-matter-type?post=18"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/pressbooks.ccconline.org\/accintrostats\/wp-json\/wp\/v2\/contributor?post=18"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/pressbooks.ccconline.org\/accintrostats\/wp-json\/wp\/v2\/license?post=18"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}