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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Population distribution refers to the patterns that a population creates as they spread within an area. A sampling distribution is a representative, random sample of that population.
What is the difference between the population and sample regression functions? Is this a distinction without difference?
A sample of a population is a subset of the population. The average of the population is a statistical measure for some variable of the population.
A sample is any subset of the total population. A representative sample is one that is chosen so that its characteristics are similar to that of the population.