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Home6.041 Probabilistic Systems Analysis and Applied ProbabilityLecture 6: Discrete Random Variable Examples; Joint PMFs
6.041 Probabilistic Systems Analysis and Applied Probability

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Lecture 6: Discrete Random Variable Examples; Joint PMFs

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Lecture 7: Multiple Discrete Random Variables: Expectations, Conditioning, Independence

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Description: In this lecture, the professor discussed conditional PMF, geometric PMF, total expectation theorem, and joint PMF of two random variables.

Instructor: John Tsitsiklis