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        <title>Lecture 19： Joint, Conditional, and Marginal Distributions ｜ Statistics 110</title>
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        <description>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.</description>
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            <title>Lecture 19： Joint, Conditional, and Marginal Distributions ｜ Statistics 110</title>
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