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#reading-9-probability-concepts

The multiplication rule for independent events states that if *A* and *B* are independent events, *P*(*AB*) = *P*(*A*)*P*(*B*). The rule generalizes in similar fashion to more than two events.

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**Summary **

probabilities is P(A or B) = P(A) + P(B) − P(AB). When events are independent, the occurrence of one event does not affect the probability of occurrence of the other event. Otherwise, the events are dependent. <span>The multiplication rule for independent events states that if A and B are independent events, P(AB) = P(A)P(B). The rule generalizes in similar fashion to more than two events. According to the total probability rule, if S 1 , S 2 , …, S n are mutually exclusive and exhaustive scenarios or events, then P(A) = P(A | S 1 )P(S 1 ) + P(A | S 2 )P(

probabilities is P(A or B) = P(A) + P(B) − P(AB). When events are independent, the occurrence of one event does not affect the probability of occurrence of the other event. Otherwise, the events are dependent. <span>The multiplication rule for independent events states that if A and B are independent events, P(AB) = P(A)P(B). The rule generalizes in similar fashion to more than two events. According to the total probability rule, if S 1 , S 2 , …, S n are mutually exclusive and exhaustive scenarios or events, then P(A) = P(A | S 1 )P(S 1 ) + P(A | S 2 )P(

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