When we compute the probability of event F assuming that the event E has already occurred, we call this the conditional probability of F given E.

We denote this probability as P(F|E). We read P(F|E) as “the probability of F given that E has occurred”, or in a quicker way, “the probability of F given E.”

If E and F are **dependent events **in a sample space with equally likely outcomes, then:

If E and F are **dependent events** in a sample space, then

This formula can also be rearranged algebraically for P(E⋂F) by multiplying both sides by P(E).

Events E and F are **independent events** if P(E|F) = P(F). In other words, if P(E|F) ≠ P(F), then E and F are **dependent**.