Question: Which statement best explains conditional probability and independence? P(A and B) P(A).P(B) = P(B). This means O When two separate events, A and B, are

Which statement best explains conditional probability and independence? P(A and B) P(A).P(B) = P(B). This means O When two separate events, A and B, are independent, P(B|A) = P(A) P(A) that the occurrence of event B first affected the probability of event A occurring next. P(A and B) P(A).P(B) When two separate events, A and B, are independent, P(B|A) = = P(B). This means O P(A) P(A) that the occurrence of event A first did not affect the probability of event B occurring next. P(A)-P(B) O When two separate events, A and B, are independent, P(BJA) = P(A and B) = P(B). This means P(A) P(A) that the occurrence of event A first affected the probability of event B occurring next. P(A and B) P(A).P(B) When two separate events, A and B, are independent, P(B|A) = = P(B). This means P(A) P(A) that the occurrence of event B first did not affect the probability of event A occurring next

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