A joint probability distribution is a statistical function that describes the likelihood of two or more random variables occurring simultaneously. It provides insights into the relationships between these variables, allowing us to understand how the probability of one variable may be affected by the other. This concept is crucial for assessing correlation and covariance, as it helps in determining how variables change together and whether they exhibit any dependency.
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