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Given two jointly distributed [[random variable]]s ''X'' and ''Y'', the '''conditional probability distribution''' of ''Y'' given ''X'' is the [[probability distribution]] of ''Y'' when ''X'' is known to be a particular value. If the conditional distribution of ''Y'' given ''X'' is a [[continuous distribution]], then its [[probability density function]] is known as the '''conditional density function'''.
The properties of a conditional distribution, such as the moments, are often called by corresponding names such as the [[conditional mean]]
==Discrete distributions==
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