Which statement best explains conditional probability and independence? When two separate events, A and B, are independent, the probability of either event occurring is the same. Therefore,
P(A) = P(B) and P(A|B) = P(B).
When two separate events, A and B, are independent, P(A|B) = P(B). This means that the probability that event A
occurred first has no effect on the probability of event B occurring next.
When two separate events, A and B, are independent, P(A|B) = P(A). This means that the probability that event B
occurred first has no effect on the probability of event A occurring next.
When two separate events, A and B, are independent, the probability of either event occurring is the same. Therefore,
P(A) = P(B) and P(A|B) = P(A).