An event in probability theory is a set of outcomes from an experiment, forming exhaustive and mutually exclusive subsets. Events play a key role in calculating probabilities and are integral to understanding probability theory.
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In probability theory, an event is a set of one or more outcomes from an experiment or sample space. Events are exhaustive and mutually exclusive subsets of possible outcomes. For example, in rolling a die, the event of getting an even number {2, 4, 6} is an event.
Events are essential in calculating probabilities, and they can be represented as subsets of the sample space. Understanding events is crucial in probability calculations and forming the basis of probability theory.
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