explain the law of total probability?
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The total probability rule (also called the Law of Total Probability) breaks up probability calculations into distinct parts. It's used to find the probability of an event, A, when you don't know enough about A's probabilities to calculate it directly. ... The total probability rule is: P(A) = P(A∩B) + P(A∩Bc).
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Step-by-step explanation:
in probability theory,the law of total probability is a fundamental rule relating marginal probabilities to conditional probabilities .
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