Table of Contents

I. Exploring and Understanding Data

1. Stats Starts Here

2. Data

3. Displaying and Describing Categorical Data

4. Displaying and Summarizing Quantitative Data

5. Understanding and Comparing Distributions

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

Review of Part I: Exploring and Understanding Data

II. Exploring Relationships between Variables

7. Scatterplots, Association, and Correlation

8. Linear Regression

9. Regression Wisdom

10. Re-expressing Data: Get It Straight!

Review of Part II: Exploring Relationships Between Variables

III. Gathering Data

11. Understanding Randomness

12. Sample Surveys

13. Experiments and Observational Studies

Review of Part III: Gathering Data

IV. Randomness and Probability

14. From Randomness to Probability

15. Probability Rules!

16. Random Variables

17. Probability Models

Review of Part IV: Randomness and Probability

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

22. Comparing Two Proportions

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

VI. Learning about the World

23. Inferences about Means

24. Comparing Means

25. Paired Samples and Blocks

Review of Part VI: Learning About the World

VII. Inference When Variables are Related

26. Comparing Counts

27. Inferences for Regression

Review of Part VII: Inference When Variables Are Related

28. Analysis of Variance–on the CD

29. Multiple Regression–on the CD

APPENDIXES

A. Answers

B. Photo Acknowledgements

C. Index

D. Tables and Selected Formulas

About the Author

Dick DeVeaux (Williams College) is an award-winning teacher and consultant to major corporations. His real-world experiences and anecdotes illustrate many of the chapters. Dick has taught business students at Wharton, engineering students at Princeton, and liberal arts students at Williams.   Dick was recently named the 2008 Mosteller Statistician of the Year, awarded by the Boston chapter of the American Statistical Association for exceptional contributions to the field of statistics and outstanding service to the statistical community. To learn more, please go to: http://www.williams.edu/admin/news/releases/1624/.

Paul Velleman(Cornell University) is the only statistician to win the EDUCAUSE award for innovating technology for learning. The developer of ActivStats® multimedia software, Data Desk® statistics software, and the DASL online archive of teaching datasets, his understanding of using and teaching with technology informs much of the book’s approach.

David Bock(Cornell University) won awards as a high school teacher of AP calculus and statistics and was a grader for the AP Statistics program from its inception. He is now the chief extension officer for the Cornell University mathematics department in charge of outreach to K-12 teachers. Dave’s wisdom about how students learn helps to shape the book’s pedagogy.