Lecture 7: Discrete Random Variables Part III (M-I-T)

• L07.1 Lecture Overview (M-I-T)
• L07.2 Conditional PMFs (M-I-T)
• L07.3 Conditional Expectation & the Total Expectation Theorem (M-I-T)
• L07.4 Independence of Random Variables (M-I-T)
• L07.5 Example (M-I-T)
• L07.7 Independence, Variances & the Binomial Variance (M-I-T)
• L07.8 The Hat Problem (M-I-T)
• S07.1 The Inclusion-Exclusion Formula (M-I-T)
• S07.2 The Variance of the Geometric (M-I-T)
• S07.3 Independence of Random Variables Versus Independence of Events (M-I-T)