A sampling distribution describes the data chosen for a sample from among a larger population.

Central Limit Theorem: A sampling distribution of the mean is approximately normally distributed if the sample size is sufficiently large. This is true no matter what the population distribution is.

For example, if our source sample is drawn from a bimodal distribution instead of a negative binomial, the parametric bootstrap generates an inaccurate sampling distribution because it is limited ...

When the program is instructed to draw a large number of samples, you can see the development of the beginnings of a sampling distribution. There are programs for sampling distributions of sample ...

It is shown that exact distribution-free confidence intervals for a population median can be obtained from a stratified sample under very special circumstances. The principal result concerns the order ...