Welcome to Introductory Statistics, 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.
The foundation of this textbook is Collaborative Statistics, 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.
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Introductory Statistics 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 includes innovative practical applications that make the text relevant and accessible, as well as collaborative exercises, technology integration problems, and statistics labs.
Chapter 1 Sampling and Data* * *
Chapter 2 Descriptive Statistics* * *
Chapter 3 Probability Topics* * *
Chapter 4 Discrete Random Variables* * *
Chapter 5 Continuous Random Variables* * *
Chapter 6 The Normal Distribution* * *
Chapter 7 The Central Limit Theorem* * *
Chapter 8 Confidence Intervals* * *
Chapter 9 Hypothesis Testing with One Sample* * *
Chapter 10 Hypothesis Testing with Two Samples* * *
Chapter 11 The Chi-Square Distribution* * *
Chapter 12 Linear Regression and Correlation* * *
Chapter 13 F Distribution and One-Way ANOVA* * *
Introductory Statistics was conceived and written to fit a particular topical sequence, but it can be used flexibly to accommodate other course structures. One such potential structure, which fits reasonably well with the textbook content, is provided below. Please consider, however, that the chapters were not written to be completely independent, and that the proposed alternate sequence should be carefully considered for student preparation and textual consistency.
Chapter 1 Sampling and Data* * *
Chapter 2 Descriptive Statistics* * *
Chapter 12 Linear Regression and Correlation* * *
Chapter 3 Probability Topics* * *
Chapter 4 Discrete Random Variables* * *
Chapter 5 Continuous Random Variables* * *
Chapter 6 The Normal Distribution* * *
Chapter 7 The Central Limit Theorem* * *
Chapter 8 Confidence Intervals* * *
Chapter 9 Hypothesis Testing with One Sample* * *
Chapter 10 Hypothesis Testing with Two Samples* * *
Chapter 11 The Chi-Square Distribution* * *
Chapter 13 F Distribution and One-Way ANOVA
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.
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.
We’ve compiled additional resources for both students and instructors, including Getting Started Guides, an instructor solution manual, and PowerPoint slides. Instructor resources require a verified instructor account, which you can apply for when you log in or create your account on OpenStax.org. Take advantage of these resources to supplement your OpenStax book.
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Barbara Illowsky, De Anza College* * *
Susan Dean, De Anza College
Birgit Aquilonius, West Valley College* * *
Charles Ashbacher, Upper Iowa University, Cedar Rapids* * *
Abraham Biggs, Broward Community College* * *
Daniel Birmajer, Nazareth College* * *
Roberta Bloom, De Anza College* * *
Bryan Blount, Kentucky Wesleyan College* * *
Ernest Bonat, Portland Community College* * *
Sarah Boslaugh, Kennesaw State University* * *
David Bosworth, Hutchinson Community College* * *
Sheri Boyd, Rollins College* * *
George Bratton, University of Central Arkansas* * *
Jing Chang, College of Saint Mary * * *
Laurel Chiappetta, University of Pittsburgh* * *
Lenore Desilets, De Anza College* * *
Matthew Einsohn, Prescott College* * *
Ann Flanigan, Kapiolani Community College* * *
David French, Tidewater Community College* * *
Mo Geraghty, De Anza College* * *
Larry Green, Lake Tahoe Community College* * *
Michael Greenwich, College of Southern Nevada* * *
Inna Grushko, De Anza College* * *
Valier Hauber, De Anza College* * *
Janice Hector, De Anza College* * *
Jim Helmreich, Marist College* * *
Robert Henderson, Stephen F. Austin State University* * *
Mel Jacobsen, Snow College* * *
Mary Jo Kane, De Anza College* * *
Lynette Kenyon, Collin County Community College* * *
Charles Klein, De Anza College* * *
Alexander Kolovos* * *
Sheldon Lee, Viterbo University* * *
Sara Lenhart, Christopher Newport University* * *
Wendy Lightheart, Lane Community College* * *
Vladimir Logvenenko, De Anza College* * *
Jim Lucas, De Anza College* * *
Lisa Markus, De Anza College* * *
Miriam Masullo, SUNY Purchase* * *
Diane Mathios, De Anza College* * *
Robert McDevitt, Germanna Community College* * *
Mark Mills, Central College* * *
Cindy Moss, Skyline College* * *
Nydia Nelson, St. Petersburg College* * *
Benjamin Ngwudike, Jackson State University* * *
Jonathan Oaks, Macomb Community College* * *
Carol Olmstead, De Anza College* * *
Adam Pennell, Greensboro College* * *
Kathy Plum, De Anza College* * *
Lisa Rosenberg, Elon University* * *
Sudipta Roy, Kankakee Community College* * *
Javier Rueda, De Anza College* * *
Yvonne Sandoval, Pima Community College* * *
Rupinder Sekhon, De Anza College* * *
Travis Short, St. Petersburg College* * *
Frank Snow, De Anza College* * *
Abdulhamid Sukar, Cameron University* * *
Jeffery Taub, Maine Maritime Academy* * *
Mary Teegarden, San Diego Mesa College* * *
John Thomas, College of Lake County* * *
Philip J. Verrecchia, York College of Pennsylvania* * *
Dennis Walsh, Middle Tennessee State University* * *
Cheryl Wartman, University of Prince Edward Island* * *
Carol Weideman, St. Petersburg College* * *
Andrew Wiesner, Pennsylvania State University
You can also download for free at http://cnx.org/contents/30189442-6998-4686-ac05-ed152b91b9de@21.1
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