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Conditional probability

Conditional distribution

{title2=$p_{Y\mid X=x}(y)=p_{X,Y}(x,y)/p_X(x)$}

The <probability mass function> of a discrete <conditional distribution>. The elementary ratio requires $p_X(x)>0$; a value of zero gives no event-conditioning definition through this ratio.

Conditional probability mass function

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Conditional probability mass function ( $p_{Y ∣ X = x} (y) = p_{X, Y} (x, y) / p_{X} (x)$ )

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Conditional probability mass function (pY∣X=x​(y)=pX,Y​(x,y)/pX​(x))

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Conditional probability mass function ( $p_{Y ∣ X = x} (y) = p_{X, Y} (x, y) / p_{X} (x)$ )

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