Sampling Distributions

Let us study about Sampling Distributions,
Sampling variability is the tendency of the same statistic computed from a number of random samples drawn from the same population to differ.

Suppose that the first sample of 100 magazine subscribers was “returned” to the population (made available to be selected again), another sample of 100 subscribers selected at random, and the mean income of the new sample computed. If this process were repeated ten times, it might yield the following sample means:

27,500 27,192 28,736 26,454 28,527

28,407 27,592 27,684 28,827 27,809

These ten values are part of a sampling distribution. The sampling distribution of a statistic—in this case, of a mean—is the distribution obtained by computing the statistic for a large number of samples drawn from the same population.
Hope the above explanation helped you.