The law of total probability is a fundamental rule relating marginal probabilities to conditional probabilities. It states that the probability of an event can be found by considering all possible ways that the event can occur, weighted by the probabilities of each condition under which it occurs. This law is particularly useful when dealing with complex probability problems where multiple scenarios need to be taken into account.
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