Which statement best explains conditional probability and independence?
When two separate events, A and B. are independent, P(AB) = 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, the probability of either event
occurring is the same. Therefore, P(A) = P(B) and P(AB) = P(B)
When two separate events. A and B are independent, P(AB) = 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(AB) = P(A).