When events are mutually exclusive and exhaustive then the sum of the individual probabilities of each event in the set must equal 1.00.

Question

Quizplus · Accepted Answer

This statement is true. When events are mutually exclusive and exhaustive, it means that they are the only possible outcomes and there is no overlap between them. Therefore, the probability of any one of these events occurring is equal to the sum of all the individual probabilities, which must equal 1.00.

When Events Are Mutually Exclusive and Exhaustive Then the Sum