The law of total probability states that if you have a set of mutually exclusive and exhaustive events, the probability of an event can be found by summing the probabilities of that event occurring across each of the mutually exclusive events. This concept is crucial for calculating probabilities when dealing with conditional probabilities and partitioning sample spaces, which can help simplify complex probability problems.
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