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) 