Causal Inference
A probability density function (PDF) is a statistical function that describes the likelihood of a continuous random variable taking on a specific value. Unlike discrete random variables, which have probabilities associated with individual outcomes, a PDF represents the probability distribution of continuous variables, where probabilities are defined over intervals rather than at specific points. The area under the curve of the PDF over a given interval corresponds to the probability of the random variable falling within that interval.
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