| Week |
Topic |
Monday |
Wednesday |
Thursday |
|---|---|---|---|---|
| 1/9 |
Introduction, Survey Sampling 7.1--4 |
slides |
slides Quebec birth data |
slides homework solutions |
| 1/16 |
Standard Deviation, Bias, Normal approximation |
slides homework solutions |
||
| 1/23 |
Normal Approximation, Confidence Intervals, Ratios, Estimation |
slides |
homework solutions |
|
| 1/30 |
Estimation, Method of moments sections 8.1--4 |
slides homework solutions |
||
| 2/6 | Likelihood estimates section 8.5 |
slides | slides | homework: pp. 290-297/ #17,21,28,45,51 solutions |
| 2/13 | Asymptotic theory for MLE, Confidence Intervals |
lecture notes | ||
| 2/27 | Hypothesis testing: Neyman-Pearson Paradigm, Z test, chi-square test (start) Reading: Rice 9.1-2, 8.2, 6.1-2 or D & S pp. 449-57,399-409,470--495 |
lecture notes | slides lecture notes |
homework lecture notes solutions |
| 3/6 | Chi-square, t test, Optimal tests, Reading: Rice 9.3-6 or D&S pp. 535-45 |
Lecture notes (combined with 3/2) |
homework lecture notes solutions |
|
| 3/13 | Generalized likelihood ratio test Graphical methods, presentation of data |
slides homework solutions |
||
| 3/20 | Graphical methods: Stem-and-leaf plots, boxplots. Independent two-sample tests | slides | slides lecture notes |
slides lecture notes homework solutions |
| 3/27 | Independent two-sample tests, Paired samples Design of Experiments |
slides lecture notes |
slides | slides homework solutions |
| 4/3 | Linear Regression Rice section 14.1--2 strongly recommended: Freedman, Pisani, Purves chapters 10--12 |
slides lecture notes |
slides |
slides |