In probability theory, conditional probability is the probability that some event A occurs, knowing that event B occurs. It is written P(A|B), read "the probability of A, given B".
If A and B are events, and P(B) > 0, then
- P(A|B) = P(A ∩ B) / P(B).
If B is an event and P(B) > 0, then the function Q defined by Q(A) = P(A|B) for all events A is a probability measure.
Conditional probability is more easily calculated with an decision tree.
