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Modeling the World
5th Edition

David Bock, Floyd Bullard, Paul Velleman, Richard De Veaux

Oct 2018, Hardback, 864 pages
ISBN13: 9780134685762
ISBN10: 0134685768
For orders to USA, Canada, Australia, New Zealand or Japan visit your local Pearson website
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For courses in Introductory Statistics (algebra-based).

Gets students thinking statistically from the start

Stats: Modeling the World by Bock, Velleman, DeVeaux, and Bullard engages students by opening with practical data analysis and graphics. Chapters begin with new, motivating examples and follow through with analyses of the data; then, real-world examples provide a basis for sample problems and exercises.

The authors’ colloquial, approachable writing style reads unlike any other statistics text. Their signature Think, Show, and Tell problem-solving method guides students through learning what we can find in data, why we find it interesting, and how to report it to others. Focused lessons are shorter than in most other texts, and are more manageable for both students and instructors. The 5th Edition extends the innovations of this acclaimed text, with important revisions and additions that support the teaching of Statistics and statistical thinking as it is practiced today.

Also available with MyLab Statistics

By combining trusted author content with digital tools and a flexible platform, MyLab Statistics personalizes the learning experience and improves results for each student. With MyLab Statistics and StatCrunch®, an integrated web-based statistical software program, students learn the skills they need to interact with data in the real world.

Note: You are purchasing a standalone product; MyLab Statistics does not come packaged with this content. Students, if interested in purchasing this title with MyLab Statistics, ask your instructor to confirm the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information.

If you would like to purchase both the physical text and MyLab Statistics, search for:

0135168473 / 9780135168479 Stats: Modeling the World Plus MyLab Statistics with Pearson eText - Access Card Package, 5/e

Package consists of:

  • 0134685768 / 9780134685762 Stats: Modeling the World, 5/e
  • 0134782917 / 9780134782911 MyLab Statistics with Pearson eText - Standalone Access Card - for Stats: Modeling the World


1. Stats Starts Here

2. Displaying and Describing Categorical Data

3. Displaying and Summarizing Quantitative Data

4. Understanding and Comparing Distributions

5. The Standard Deviation as a Ruler and the Normal Model

Review of Part I: Exploring and Understanding Data


6. Scatterplots, Association, and Correlation

7. Linear Regression

8. Regression Wisdom

9. Re-expressing Data: Get It Straight!

Review of Part II: Exploring Relationships Between Variables


10. Understanding Randomness

11. Sample Surveys

12. Experiments and Observational Studies

Review of Part III: Gathering Data


13. From Randomness to Probability

14. Probability Rules!

15. Random Variables

16. Probability Models

Review of Part IV: Randomness and Probability


17. Sampling Distribution Models

18. Confidence Intervals for Proportions

19. Testing Hypotheses About Proportions

20. More About Tests and Intervals

21. Comparing Two Proportions

Review of Part V: From the Data at Hand to the World at Large


22. Inferences About Means

23. Comparing Means

24. Paired Samples and Blocks

Review of Part VI: Learning About the World


25. Comparing Counts

26. Inferences for Regression

Review of Part VII: Inference When Variables Are Related

27. Analysis of Variance*–online

28. Multiple Regression*–online


A. Selected Formulas

B. Guide to Statistical Software

C. Answers

D. Photo and Text Acknowledgments

E. Index

F. Tables

Supports learning through worked examples and practice opportunities

  • UPDATED! Step By Step Examples – In every chapter, these examples emphasize the importance of thinking about a question, calculating results, and reporting findings (Think, Show, and Tell). Most of the examples and exercises are based on recent news stories, research articles, and other real-world sources. Many of those sources are listed so students can explore them further.
  • UPDATED! Hundreds of exercises were added and updated with the most recent data. Whenever possible, that data is provided at
  • What Have We Learned? – Chapter-ending study guides help students review key concepts and terms.
  • Practice Exams – At the end of Part, a practice exam offers both multiple choice and free response questions.

Pedagogical tools encourage statistical thinking and application

  • NEW! Extensive and integrated use of simulations – Almost every chapter uses simulations to introduce a new topic, illustrate a concept, or assist in analyzing data when traditional methods are insufficient.
    • Margin pointers direct students to explore these applets on the book’s website ( and develop deeper understanding of key ideas.
    • Simulations help to address questions such as, “What does standard deviation mean?”; “What does ‘95% confident’ mean?”; and “How large should a sample be?”
  • UPDATED! TI Tips – Each chapter’s easy-to-read “TI Tips” now show students how to use TI-84 Plus CE Statistics functions with the StatWizard operating system. TI-Nspire Activities in the margins identify demonstrations and investigations for TI-Nspire handhelds to enhance each chapter.

Also available with MyLab Statistics

MyLab™ Statistics is the teaching and learning platform that empowers you to reach every student. By combining trusted author content with digital tools and a flexible platform, MyLab Statistics personalizes the learning experience and improves results for each student. With MyLab Statistics and StatCrunch®, an integrated web-based statistical software program, students learn the skills they need to interact with data in the real world. Learn more about MyLab Statistics.

  • Deliver trusted content: You deserve teaching materials that meet your own high standards for your course. That’s why we partner with highly respected authors to develop interactive content and course-specific resources that you can trust – and that keep your students engaged.
    • StatCrunch is a powerful web-based statistical software that allows users to perform complex analyses, share data sets, and generate compelling reports of their data. The vibrant online community offers tens of thousands of shared data sets for students to analyze, in addition to all of the data sets in the text or online homework. StatCrunch is integrated directly into MyLab Statistics.
    • NEW! StatCrunch Question Library: This library of questions provides opportunities for students to analyze and interpret data sets in StatCrunch. Instructors can assign individual questions from the library by topic or they can assign questions from the same data set as a longer assignment that spans multiple learning objectives.
    • Enhanced! video program: Updated Step-by-Step Example videos guide students through the process of analyzing a problem using the “Think, Show, and Tell” strategy from the textbook.
    • Conceptual Question Library: A library of 1000 Conceptual Questions available in the assignment manager requires students to apply their statistical understanding.
  • Empower each learner: Each student learns at a different pace. Personalized learning pinpoints the precise areas where each student needs practice, giving all students the support they need – when and where they need it – to be successful.
    • Getting Ready for Statistics Question Library: This question library contains more than 450 exercises that cover the relevant review topics for a given section. These can be made available to students for extra practice or assigned as a prerequisite to other assignments.
  • Teach your course your way: Your course is unique. So whether you’d like to build your own assignments, teach multiple sections, or set prerequisites, MyLab gives you the flexibility to easily create your course to fit your needs.
    • Learning Catalytics: Now included in all MyLab Statistics courses, this student response tool uses students’ smartphones, tablets, or laptops to engage them in more interactive tasks and thinking during lecture. Learning Catalytics™ fosters student engagement and peer-to-peer learning with real-time analytics. Access pre-built exercises created specifically for statistics.
  • Improve student results: When you teach with MyLab, student performance often improves. That’s why instructors have chosen MyLab for over 15 years, touching the lives of over 50 million students.

David E. Bock taught mathematics at Ithaca High School for 35 years. He has taught Statistics at Ithaca High School, Tompkins-Cortland Community College, Ithaca College, and Cornell University. Dave has won numerous teaching awards, including the MAA’s Edyth May Sliffe Award for Distinguished High School Mathematics Teaching (twice), Cornell University’s Outstanding Educator Award (three times), and has been a finalist for New York State Teacher of the Year.

Dave holds degrees from the University at Albany in Mathematics (B.A.) and Statistics/Education (M.S.). Dave has been a reader and table leader for the AP Statistics exam and a Statistics consultant to the College Board, leading workshops and institutes for AP Statistics teachers. His understanding of how students learn informs much of this book’s approach.

Floyd Bullard first taught high school math as a Peace Corps volunteer in Benin, West Africa, when he was 23 years old. Today he teaches at the North Carolina School of Science and Mathematics in Durham, North Carolina, where he has been since 1999. Floyd has served on the AP Statistics test development committee and presents regularly at workshops

and conferences for Statistics teachers.

Floyd’s academic degrees are from the Johns Hopkins University (B.S., Applied Mathematics, 1991), the University of North Carolina at Chapel Hill (M.S., Statistics, 1997), and Duke University (Ph.D., Statistics, 2009). He likes to do crossword puzzles and play the piano (not at the same time!).

Paul F. Velleman has an international reputation for innovative Statistics education. He is the author and designer of the multimedia Statistics program ActivStats, for which he was awarded the EDUCOM Medal for innovative uses of computers in teaching Statistics and the ICTCM Award for Innovation in Using Technology in College Mathematics. He also developed the award-winning Statistics program Data Desk and the Internet site Data and Story Library (DASL) (, which provides data sets for teaching Statistics. Paul’s understanding of using and teaching with technology informs much of this book’s approach.

Paul taught Statistics at Cornell University in the Department of Statistical Sciences, for which he was awarded the MacIntyre Prize for Exemplary Teaching. He holds an A.B. from Dartmouth College in Mathematics and Social Science, and M.S. and Ph.D. degrees in Statistics from Princeton University, where he studied with John Tukey.

Richard D. De Veaux is an internationally known educator and consultant. He has taught at the Wharton School and the Princeton University School of Engineering, where he won a “Lifetime Award for Dedication and Excellence in Teaching.” Since 1994, he has taught at Williams College. Dick has won both the Wilcoxon and Shewell awards from the American Society for Quality. He is an elected member of the International Statistics Institute (ISI) and a fellow of the American Statistical Association (ASA). Dick is also well known in industry, where for more than 25 years he has consulted for such Fortune 500 companies as American Express, Hewlett-Packard, Alcoa, DuPont, Pillsbury, General Electric, and Chemical Bank. Because he consulted with Mickey Hart on his book Planet Drum, he has also sometimes been called the “Official Statistician for the Grateful Dead.” His real-world experiences and anecdotes illustrate many of this book’s chapters.

Dick holds degrees from Princeton University in Civil Engineering (B.S.E.) and Mathematics (A.B.) and from Stanford University in Dance Education (M.A.) and Statistics (Ph.D.), where he studied dance with Inga Weiss and Statistics with Persi Diaconis.