Question
Which statement best explains conditional probability and independence? A) When two separate events, A and B , are independent, P ( A | B )=
Which statement best explains conditional probability and independence?
A) When two separate events, A and B, are independent, P(A|B)=P(A). This means that the probability of event B occurring first has no effect on the probability of event A occurring next.
B) When two separate events, A and B, are independent, P(B|A)P(A|B). The probability of P(A|B) or 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)P(B|A). 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.
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Statistical Inference
Authors: George Casella, Roger L. Berger
2nd edition
0534243126, 978-0534243128
