| Chapter | Date | Subject |
|---|---|---|
| 1; 4.2 | 8-25 | Introduction |
| 2 | 8-27 | Study design |
| 9-1 | No class: Labor Day | |
| 2 | 9-3 | Observational studies |
| 3 | 9-3 | Descriptive statistics |
| 4.3, 6.3.6 | 9-8 | Probability |
| 4.6.1, 4.7 | 9-10 | Confidence intervals |
| 4.6.2, 4.7 | 9-15 | Hypothesis tests |
| 6.2.1, 6.2.2 | 9-17 | Binomial distribution |
| 6.2.3, 6.2.4, 6.4 | 9-22 | One-sample categorical data |
| 9-24 | One-sample categorical data: the Bayesian approach | |
| 4.3.3, 4.4 | 9-29 | Normal distribution |
| 4.5.3 | 10-1 | The central limit theorem |
| 6.2.5, 6.2.6 | 10-6 | One-sample categorical data: approximate inference |
| 10-8 | Exam 1 | |
| 4.8.1, 5.4 | 10-13 | The t-distribution |
| 4.8.2, 5.1-5.5 | 10-15 | One-sample continuous |
| 5.6, N5.2 | 10-20 | Two-sample inference: Continuous data |
| 5.8 | 10-22 | Power and sample size calculations [interactive demo] |
| 6.3.1, 6.3.2 | 10-29 | Two-sample Categorical data: Testing |
| 6.3.3, 6.3.4 | 11-3 | Two-sample Categorical data: Measuring association |
| 6.5 | 11-5 | Count data and the Poisson distribution |
| 8.1, 8.2, 8.4, 8.6, 8.9 | 11-10 | Transformations and rank-based tests |
| 8.8, 8.10 | 11-12 | Distribution-free confidence intervals and the bootstrap |
| 9.3 | 11-17 | Correlation |
| 11-19 | Exam 2 | |
| 11-24 | No class: Thanksgiving recess | |
| 11-26 | No class: Thanksgiving recess | |
| 9.1-9.2 | 12-1 | Regression |
| 12.1-12.2, 13.3.4, 12.5 | 12-3 | Multiple comparisons |
| 16.1, 16.2, 16.5 | 12-10 | Survival analysis |
| 12-15 | Final Exam |
