Sampling distributions in general describe the distributions

Sampling distributions, in general, describe the distributions of

the number of successes in n trials over time

population parameters such as the median and variance

the pattern that the data takes on when a histogram is made

processes that can be measured to any level of accuracy

calculated statistics such as the sample mean and sample proportion

Solution

Sampling distribution describe the distribution of statistics. All statistics have sampling distributions, for example the sampling distribution of mean, the sampling distribution of the variance, the sampling distribution of the difference between means, and the sampling distribution of Pearson\'s correlation etc.

Option E is correct.