The joint probabilities for two random variables X and Y are summarized
by their joint probability distribution. The conditional probability distribu-
tion of Y given X = x is the probability distribution of Y, conditional on X
taking on the value x.
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If X takes values in [a, b] and Y takes values in [c, d] then the pair (X, Y ) takes values in the product [a, b] × [c, d]. The joint probability density function (joint pdf) of X and Y is a function f(x, y) giving the probability density at (x, y).
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