I: EXPLORING AND UNDERSTANDING DATA

1. 1. Stats Starts Here
2. 2. Displaying and Describing Data
3. 3. Relationships Between Categorical Variables–Contingency Tables
4. 4. Understanding and Comparing Distributions
5. 5. The Standard Deviation as a Ruler and the Normal Model

II. EXPLORING RELATIONSHIPS BETWEEN VARIABLES

1. 6. Scatterplots, Association, and Correlation
2. 7. Linear Regression
3. 8. Regression Wisdom
4. 9. Multiple Regression

III. GATHERING DATA

1. 10. Sample Surveys
2. 11. Experiments and Observational Studies

IV. RANDOMNESS AND PROBABILITY

1. 12. From Randomness to Probability
2. 13.Probability Rules!
3. 14. Random Variables
4. 15. Probability Models

V. INFERENCE FOR ONE PARAMETER

1. 16. Sampling Distribution Models and Confidence Intervals for Proportions
2. 17. Confidence Intervals for Means
3. 18. Testing Hypotheses
4. 19. More About Tests and Intervals

VI. INFERENCE FOR RELATIONSHIPS

1. 20. Comparing Groups
2. 21. Paired Samples and Blocks
3. 22. Comparing Counts
4. 23. Inferences for Regression

VII. INFERENCE WHEN VARIABLES ARE RELATED

1. 24. Multiple Regression Wisdom
2. 25. Analysis of Variance
3. 26. Multifactor Analysis of Variance
4. 27. Statistics and Data Science