Which statement best explains conditional probability and independence?
When two separate events, A and B, are independent, P(AB) = P(A). This means
o that the probability of event B occurring first has no effect on the probability of event A
occurring next.
When two separate events, A and B, are independent, P(AB) = P(B) . This means
that the probability of event B occurring first has no effect on the probability of event A
occurring next
When two separate events, A and B, are independent, P(BA) + P(AB). The
probability of P(AB) or P(BA) would be different depending on whether event A
occurs first or event B occurs first.
When two separate events, A and B, are independent, P(AB) + P(BA). This
means that it does not matter which event occurs first and that the probability of both
events occurring one after another is the same.