A conditional probability density function (pdf) describes the probability distribution of a continuous random variable given that another variable takes on a specific value. It provides insights into the relationship between two variables and helps to understand how the distribution of one variable changes when conditioned on the value of another. This concept is crucial for analyzing joint distributions and exploring dependencies between variables.
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