The sampling distribution of a statistic is its probability distribution under repeated samples from a specified data-generating model.
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A sampling distribution is a probability distribution of a statistic (such as the sample mean, sample proportion, or sample variance) obtained from a large number of samples drawn from a specific population. In essence, it shows how a statistic would vary from sample to sample if you were to take repeated samples from the same population.