Empirical probability refers to the likelihood of an event occurring based on observed data or experiments, rather than theoretical calculations. It is calculated by taking the number of times an event occurs and dividing it by the total number of trials or observations. This concept is closely related to conditional probability and Bayes' theorem, as it allows us to update our understanding of probabilities based on new evidence from observed occurrences, thereby influencing decision-making processes.
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