(probability theory) The probability distribution of a random variable given the known outcome of another random variable.

In probability theory, regular conditional probability is a concept that formalizes the notion of conditioning on the outcome of a random variable.

In statistics, the conditional probability table is defined for a set of discrete and mutually dependent random variables to display conditional probabilities of a single variable with respect to the others (i.e., the probability of each possible value of one variable if we know the values taken on by the other variables).