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Mutually exhaustive refers to a set of outcomes or events in which all possible scenarios are accounted for, ensuring that at least one of the outcomes must occur. In other words, when events are mutually exhaustive, they cover the entire sample space, leaving no possibility unconsidered. This concept is often used in probability and statistics to ensure comprehensive analysis of events. For example, the outcomes of flipping a coin (heads or tails) are mutually exhaustive.

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