Stats: Data and Models, 3rd Edition

Stats: Data and Models, Third Edition, will intrigue and challenge students by encouraging them to think statistically and by emphasizing how statistics helps us understand the world. Praised by students and instructors alike for its readability and ease of comprehension, this text focuses on statistical thinking and data analysis. The authors draw from their wealth of consulting experience to craft compelling examples, which encourages students to learn how to reason with data. This book is organized into short chapters that concentrate on one topic at a time, offering instructors maximum flexibility in planning their courses.

 

The text is appropriate for a one-or-two semester introductory statistics course and includes advanced topics, such as Analysis of Variance (ANOVA), Multiple Regression, and Nonparametrics.

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 and Intervals

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

28. Analysis of Variance

29. Multifactor Analysis of Variance

30. Multiple Regression

31. Multiple Regression Wisdom

Review of Part VII: Inference When Variables Are Related

 

APPENDIXES

A. Selected Formulas

B. Answers

C. Photo Acknowledgements

D. Index

E. Tables