Stats: Modeling the World

David E. Bock taught mathematics at Ithaca High School for 35 years. He has taughtStatistics 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, serves as a Statistics consultant to the College Board, and leads workshops and institutes for AP Statistics teachers. He also served as K–12 Education and Outreach Coordinator and a senior lecturer for the Mathematics Department at Cornell University. His understanding of how students learn informs much of this book’s approach.

Dave and his wife relax by biking or hiking, and when not at home near Ithaca can often be found in North Carolina’s Blue Ridge Mountains. They have a son, a daughter, and four grandchildren.

Richard D. De Veaux is an internationally known educator and consultant. He hastaught 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 Statistics at Williams College. He is currently the C. Carlisle and Margaret Tippit Professor of Statistics 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). In 2008, he was named Statistician of the Year by the Boston Chapter of the 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 “OfficialStatistician 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 and bass for the doo-wop group, the Diminished Faculty, and is a frequent singer and soloist with various local choirs, including the Choeur Vittoria of Paris, France. Dick is the father of four children.

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 Dataand Story Library (DASL; lib.stat.cmu.edu/DASL/), which provides data sets for teaching Statistics. Paul’s understanding of using and teaching with technology informs much of this book’s approach.

I. EXPLORING AND UNDERSTANDING DATA

1. Stats Start Here

2. Data

3. Displaying and Describing Categorical Data

4. Displaying and Comparing Qualitative Data

5. Understanding and Comparing Distributions

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

II EXPLORING RELATIONSHIPS BETWEEN VARIABLES

7. Scatterplots, Association, and Correlation

8. Linear Regression

9. Regression Wisdom

10. Re-expressing Data: Get it Straight!

III. GATHERING DATA

11. Understanding Randomness

12. Sample Surveys

13. Experiments and Observational Studies

IV. RANDOMNESS AND PROBABILITY

14. From Randomness to Probability

15. Probability Rules!

16. Random Variables

17. Probability Models

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

18. Sampling Distribution Models

19. Confidence Intervals for Proportions

20. Testing Hypotheses About Proportions

21. More About Tests and Intervals

22. Comparing Two Proportions

VI. LEARNING ABOUT THE WORLD

23. Inferences about Means

24. Comparing Means

25. Paired Samples and Blocks

VII. INFERENCE WHEN VARIABLES ARE RELATED

26. Comparing Counts

27. Inferences for Regression

28. Analysis of Variance (on DVD)

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