A mutually exclusive question is one that includes categories that do not overlap
In statistics, the term "mutually exclusive" refers to the inability of two or more events to occur simultaneously.
Mutually exclusive events are events that cannot both occur at the same time. For example, if you flip a coin there are only two possible outcomes: heads or tails. Both outcomes are mutually exclusive, meaning that they cannot both occur at the same time. In probability, mutually exclusive events are events that cannot occur simultaneously and have no common outcomes. This means that the probability of two or more mutually exclusive events happening together is zero. This is because the common outcomes between two mutually exclusive events are zero.
In order for two events to be mutually exclusive, the probability of them happening together must be zero. This can be determined by calculating the intersection of the two events. If the intersection of the two events is empty, meaning that the two events have no common outcomes, then the events are mutually exclusive. If the intersection is not empty, meaning that the two events have at least one common outcome, then the events are not mutually exclusive.
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