Catalog · Probabilistic Systems Analysis and Applied Probability Lecture 7 of 25 Lecture 7: Multiple Discrete Random Variables: Expectations, Conditioning, Independence ← Previous Lecture 6: Discrete Random Variable Examples; Joint PMFs Next → Lecture 8: Continuous Random Variables ✓ Mark complete Materials Transcript (PDF) ↗ transcript