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