P-hat, denoted as $$\hat{p}$$, represents the sample proportion in statistics, specifically used to estimate the true population proportion. It is calculated by dividing the number of successes in a sample by the total number of observations in that sample. This term is crucial when discussing the sampling distribution of proportions, as it serves as an estimate of the actual parameter p, which is the proportion of successes in the entire population.
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