| Date | Chapter | Description | |
|---|---|---|---|
| Oct 31 | Midterm exam | ||
| Nov 2 | 3.3 | Cumulative distribution function | |
| Nov 4 | 3.3 | Relating cdf and pdf; quantiles | |
| Nov 7 | 3.4 | Joint distributions of 2 RVs | |
| Nov 9 | 3.5, 3.6 | Marginal and conditional distributions | |
| Nov 11 | 3.7 | Joint distributions of many RVs | |
| Nov 14 | 3.7 | Joint distributions and independence | |
| Nov 16 | 3.7 | Independent and dependent RV examples | |
| Nov 18 | 3.8 | Functions of a RV | |
| Nov 21 | 3.8 | Simulation of RV | |
| Nov 23 | Thanksgiving! (no class) | ||
| Nov 25 | Thanksgiving! (no class) | ||
| Nov 28 | 3.9 | Sum of RVs -- convolution | |
| Nov 30 | 4.1 | Expected value -- definition and examples | |
| Dec 2 | 4.2 | Expected value -- properties (linearity) | |
| Dec 5 | 4.2 | Linearity of expectation examples; expectation product formula for independent RVs | |
| Dec 7 | 4.3 | Variance properties | |
| Dec 9 | 6 | Overview of the Weak Law of Large Numbers and Central Limit Theorem | |
| Dec 19 | Final exam (3:30 - 5:30pm) | ||