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Probability is quantified by the likelihood of events occurring, represented on a scale from 0 to 1. Key concepts include experiments, trials, outcomes, and their relationships, along with classical and simple event probabilities. Complementary events further underscore the inverse relationship of event probabilities.
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Term: Probability
Definition: A measure of how likely an event is to occur, varying between 0 (impossible) and 1 (certain).
Term: Sample Space
Definition: The set of all possible outcomes of an experiment.
Term: Classical Probability
Definition: Probability calculated under the assumption that all outcomes are equally likely.
Term: Simple Events
Definition: Events that involve a single outcome from the sample space.
Term: Complementary Events
Definition: Events that represent the opposite possibility of an event occurring, calculated as 1 minus the event's probability.