| CLASS | DATE | TOPICS COVERED IN CLASS | READING | HANDOUTS |
| 1 | Tue Jan 11 | Sampling and statistics | Ch 5.1 | Notes 1 |
| 2 | Thu Jan 13 | Point estimation, confidence intervals | Ch 5.4 | Notes 2 |
| 3 | Tue Jan 18 | Confidence intervals | Ch 5.4, 5.2.2 | Notes 3 |
| 4 | Thu Jan 20 | Hypothesis Testing | Ch 5.5 | Notes 4 |
| 5 | Tue Jan 25 | Hypothesis testing, chi-square tests | Ch 5.6, 5.7 | Notes 5 |
| 6 | Thu Jan 27 | Monte Carlo method, bootstrap procedures | Ch 5.8, 5.9 | Notes 6 |
| 7 | Tue Feb 1 | Bootstrap procedures | Ch 5.9 | Notes 7 |
| 8 | Thu Feb 3 | Maximum likelihood estimation | Ch 6.1 | Notes 8 |
| 9 | Tue Feb 8 | Rao-Cramer Lower Bound and Efficiency | Ch 6.2 | Notes 9 |
| 10 | Thu Feb 10 | Computation of maximum likelihood estimates, maximum likelihood testing | Ch 6.2, 6.3 | Notes 10 |
| 11 | Tue Feb 15 | Maximum likelihood methods for multiparameter cases | Ch 6.4, 6.5 | Notes 11 |
| 12 | Thu Feb 17 | Decision theory | Ch 7.1 | Notes 12 |
| 13 | Tue Feb 22 | Sufficient statistics | Ch 7.2 | Notes 13 |
| 14 | Thu Feb 24 | Properties of sufficient statistics, completeness | Ch 7.3, 7.4 | Notes 14 |
| 15 | Tue Mar 1 | Exponential families, uniformly minimum variance unbiased estimation | Ch 7.5, 7.6 | Notes 15 |
| 16 | Thu Mar 3 | Sufficiency and uniformly minimum variance unbiased estimation in multiparameter case | Ch 7.7 | Notes 16 |
| No class | Tue Mar 8 | Spring break | ||
| No class | Thu Mar 10 | Spring break | ||
| 17 | Tue Mar 15 | Most powerful tests | Ch 8.1 | Notes 17 |
| 18 | Thu Mar 17 | Uniformly most powerful tests | Ch 8.2 | Notes 18 |
| 19 | Tue Mar 22 | Likelihood ratio tests | Ch 8.3 | Notes 19 |
| 20 | Thu Mar 24 | Sequential probability ratio test | Ch 8.4 | Notes 20 |
| 21 | Tue Mar 29 | Multiple comparisons | Class notes | Notes 21 |
| 22 | Thu Mar 31 | Location model, distribution free tests | Ch 10.1, 10.2 | Notes 22 |
| 23 | Tue Apr 5 | Distribution free tests | Ch 10.3 | Notes 23 |
| 24 | Thu Apr 7 | Subjective probability | Ch 11.1 | Notes 24 |
| 25 | Tue Apr 12 | Bayesian procedures | Ch 11.2 | Notes 25 |
| 26 | Thu Apr 14 | Bayesian procedures | Ch 11.3 | Notes 26 |
| 27 | Tue Apr 19 | Gibbs sampler | Ch 11.4 | Notes 27 |
| 28 | Thu Apr 21 | Hierarchical models | Ch 11.5 | Notes 28 |