PLEASE HELP Which statement best explains conditional probability and independence?

A) When two separate events A and B are independent P(B|A)=P(A and B)/P(A)=P(A)•P(B)/P(A)=P(B). this means that the occurrence of event A first affected the probability of event B occurring next.

B) When two separate events A and B are independent P(B|A)=P(A and B)/P(A)=P(A)•P(B)/P(A)=P(B). This means that the occurrence of event A first did not affect the probability of event B occurring.

C) When two separate events A and B are independent P(B|A)=P(A and B)/P(A)=P(A)•P(B)/P(A)=P(B). This means that the occurrence of event B first did not affect the probability of event A occurring next.

D) When two separate events A and B are independent P(B|A)=P(A and B)/P(A)=P(A)•P(B)/P(A)=P(B). This means that the occurrence of event B first affected the probability of event A occurring next.