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) |