Independent events are two or more events that do not influence each other's outcomes. This means that the occurrence of one event does not affect the probability of the other occurring. Understanding independent events is crucial when analyzing distributions of random variables, evaluating sample spaces, determining conditional probabilities, and establishing the foundational concepts in probability theory.
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