Joint probability is the probability of two or more events occurring simultaneously. It is crucial for understanding the relationship between multiple random variables, allowing us to analyze how events influence each other. In the context of conditional probability and Bayes' theorem, joint probability plays a central role in determining the likelihood of events based on their interconnectedness, enabling us to compute probabilities when given partial information about one of the events.
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