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Lecture 19: Joint, Conditional, and Marginal Distributions | Statistics 110

Harvard University ↗

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We discuss joint, conditional, and marginal distributions (continuing from Lecture 18), the 2-D LOTUS, the fact that E(XY)=E(X)E(Y) if X and Y are independent, the expected distance between 2 random points, and the chicken-egg problem.

Published 2013-04-29 · Watch on YouTube ↗
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