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Sampling distribution is the probability distribution of a given sample statistic.

For example, the sample mean. We could take many samples of size k and look at the mean of each of those. The means would form a distribution and that distribution has a mean, a variance and standard deviation.

Now the population only has one mean, so we can't do this.

Population distribution can refer to how some quality of the population is distributed among the population.

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Q: What is the difference between population and sample distribution?
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