Lecture 6: Discrete Random Variables Part II (M-I-T)

• L06.1 Lecture Overview (M-I-T)
• L06.2 Variance (M-I-T)
• L06.3 The Variance of the Bernoulli & the Uniform (M-I-T)
• L06.4 Conditional PMFs & Expectations Given an Event (M-I-T)
• L06.5 Total Expectation Theorem (M-I-T)
• L06.7 Joint PMFs and the Expected Value Rule (M-I-T)
• L06.8 Linearity of Expectations & the Mean of the Binomial (M-I-T)