Lecture 9: Continuous Random Variables Part II (M-I-T)

• L09.1 Lecture Overview (M-I-T)
• L09.2 Conditioning A Continuous Random Variable on an Event (M-I-T)
• L09.3 Conditioning Example (M-I-T)
• L09.4 Memorylessness of the Exponential PDF (M-I-T)
• L09.5 Total Probability & Expectation Theorems (M-I-T)
• L09.6 Mixed Random Variables (M-I-T)
• L09.7 Joint PDFs (M-I-T)
• L09.8 From The Joint to the Marginal (M-I-T)
• L09.9 Continuous Analogs of Various Properties (M-I-T)
• L09.10 Joint CDFs (M-I-T)