Stats

David Bock (Cornell University) has 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 now is 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 shape the book’s pedagogy.   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.   Richard D. De Veaux (Williams College) is an award-winning teacher and consultant to major corporations. Dick has taught business students at Wharton, engineering students at Princeton, and liberal arts students at Williams. His real-world experiences and anecdotes illustrate many of this book’s chapters.

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)

29. Multiple Regression (on DVD)