Preface
Part I. Exploring and Understanding Data
1. Stats Starts Here
2. Displaying and Describing Data
3. Relationships Between Categorical Variables-Contingency Tables
4. Understanding and Comparing Distributions
Part II. Exploring Relationships Between Variables
6. Scatterplots, Association, and Correlation
7. Linear Regression
8. Regression Wisdom
9. Multiple Regression
Part III. Gathering Data
10. Sample Surveys
11. Experiments and Observational Studies
Part IV. Randomness and Probability
12. From Randomness to Probability
13. Probability Rules!
14. Random Variables
15. Probability Models
Part V. Inference for One Parameter
16. Sampling Distribution Models and Confidence Intervals for Proportions
17. Confidence Intervals for Means
18. Testing Hypotheses
19. More About Tests and Intervals
Part VI. Inference for Relationships
20. Comparing Groups
21. Paired Samples and Blocks
22. Comparing Counts
23. Inferences for Regression
Part VII. Inference When Variables Are Related
24. Multiple Regression Wisdom
25. Analysis of Variance
26. Multifactor Analysis of Variance
27. Introduction to Statistical Learning and Data Science
Appendixes

*The digital edition does not include access codes to additional material or programs mentioned in the book.