| Quiz | Date | Subject |
|---|---|---|
| 1 | 1-20 | Introduction |
| 1 | 1-22 | Study design |
| 1 | 1-27 | Hypothesis tests |
| 1 | 1-29 | Confidence intervals |
| 1 | 2-3 | Observational studies |
| 2 | 2-5 | Descriptive statistics |
| 2 | 2-10 | Correlation |
| 2 | 2-12 | Regression |
| 2 | 2-17 | Probability I |
| 2 | 2-19 | Probability II |
| 3 | 2-24 | The binomial distribution |
| 3 | 2-26 | One-sample categorical data |
| 3 | 3-3 | The normal distribution |
| 3 | 3-5 | The central limit theorem |
| 3 | 3-10 | Applying the central limit theorem |
| 3 | 3-12 | One-sample categorical data (approximate) |
| 3-17 | No class (Spring break) | |
| 3-19 | No class (Spring break) | |
| 3 | 3-24 | One-sample inference: Continuous data |
| 3 | 3-26 | Error bars; power and sample size |
| 4 | 3-31 | Two-sample Categorical data: Testing |
| 4 | 4-2 | Prospective, retrospective, and cross-sectional studies |
| 4 | 4-7 | Measuring association in contingency tables |
| 4 | 4-9 | Two-sample continuous data |
| 4 | 4-14 | Continued; no new notes |
| 4 | 4-16 | Transformations and outliers |
| 4 | 4-21 | Rank-based and nonparametric methods |
| F | 4-23 | Multiple comparisons |
| F | 4-28 | Multiple samples: Modeling and ANOVAs |
| 4-30 | Multiple samples: Pairwise comparisons and categorical outcomes | |
| F | 5-5 | Survival analysis |
| 5-7 | Final thoughts/comments |