Stats Modeling the World

Stats: Modeling the World will get you thinking statistically from the start. It leads with practical data analysis and graphics to help you think in a statistical context. Updated, relevant examples and data plus the authors' signature "Think, Show, and Tell" problem-solving method teach you to approach a question, solve the problem and communicate meaning. The 6th Edition updates and adds examples, exercises and data throughout, with access to the data where possible. Many examples and exercises are based on recent news stories, articles, and other sources, with many listed so you can explore them further.

About our authors

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 plays Dungeons & Dragons regularly and enjoys playing the piano.

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, the Internet site Data and Story Library (DASL) which provides data sets for teaching Statistics, and the tools referenced in the text for simulation and bootstrapping. Paul's understanding of using and teaching with technology informs much of this book's approach.

Paul taught Statistics at Cornell University, where he was awarded the MacIntyre Award for Exemplary Teaching. He is Emeritus Professor of Statistical Science from Cornell and lives in Maine with his wife, Sue Michlovitz. 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. His research often deals with statistical graphics and data analysis methods. Paul co-authored (with David Hoaglin) ABCs of Exploratory Data Analysis. Paul is a Fellow of the American Statistical Association and of the American Association for the Advancement of Science. Paul is the father of two boys. In his spare time he sings with the?acapella?group VoXX and studies tai chi.

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. He is the C. Carlisle and M. Tippit Professor of Statistics at Williams College, where he has taught since 1994. Dick has won both the Wilcoxon and Shewell awards from the American Society for Quality. He is a fellow of the American Statistical Association (ASA) and an elected member of the International Statistical Institute (ISI). In 2008, he was named Statistician of the Year by the Boston Chapter of the ASA, and was the 2018-2021 Vice-President of the ASA. Dick is also well known in industry, where for more than 30 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. His research focuses on the analysis of large data sets and data mining in science and industry.

In his spare time, he is an avid cyclist and swimmer. He also is the founder of the "Diminished Faculty," an a cappella Doo-Wop quartet at Williams College, and sings bass in the college concert choir and with the Choeur Vittoria of Paris. Dick is the father of four children.

I. EXPLORING AND UNDERSTANDING DATA

• 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

II. EXPLORING RELATIONSHIPS BETWEEN VARIABLES

• 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

III. GATHERING DATA

• 10. Understanding Randomness?
• 11. Sample Surveys?
• 12. Experiments and Observational Studies?
• Review of Part III: Gathering Data

IV. RANDOMNESS AND PROBABILITY

• 13. From Randomness to Probability?
• 14. Probability Rules!?
• 15. Random Variables?
• 16. Probability Models?
• Review of Part IV: Randomness and Probability

V. FROM THE DATA AT HAND TO THE WORLD AT LARGE

• 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

VI. LEARNING ABOUT THE WORLD

• 22. Inferences About Means?
• 23. Comparing Means?
• 24. Paired Samples and Blocks?
• Review of Part VI: Learning About the World

VII. INFERENCE WHEN VARIABLES ARE RELATED

• 25. Comparing Counts?
• 26. Inferences for Regression?
• Review of Part VII: Inference When Variables Are Related?

Appendixes

• A. Selected Formulas
• B. Guide to Statistical Software?
• C. Answers
• D. Photo and Text Acknowledgments?
• E. Index?
• F. Tables?

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