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(* Indicates an optional chapter.)
I. EXPLORING AND UNDERSTANDING DATA.
1. Stats Starts Here.
2. Data.
3. Displaying Categorical Data.
4. Displaying Quantitative Data.
5. Describing Distributions Numerically.
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: It's easier than you think.
III. GATHERING DATA.
11. Understanding Randomness.
12. Sample Surveys.
13. Experiments.
IV. RANDOMNESS AND PROBABILITY.
14. From Randomness to Probability (LLN).
15. Probability Rules!
16. *Random Variables.
17. *Probability Models (Binomial).
V. FROM THE DATA AT HAND TO THE WORLD AT LARGE.
18. Sampling Distribution Models (CLT).
19. Confidence Intervals for Proportions.
20. Testing Hypotheses about Proportions.
21. More About Tests.
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 (Chi Square).
27. Inferences for Regression.
28. Analysis of Variance (on CD).
29. Multiple Regression (on CD).
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