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#reading-9-probability-concepts

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.

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**Summary **

ule for probabilities is P(AB) = P(A | B)P(B). The probability that A or B occurs, or both occur, is denoted by P(A or B). The addition rule for probabilities is P(A or B) = P(A) + P(B) − P(AB). <span>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. 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

ule for probabilities is P(AB) = P(A | B)P(B). The probability that A or B occurs, or both occur, is denoted by P(A or B). The addition rule for probabilities is P(A or B) = P(A) + P(B) − P(AB). <span>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. 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

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