In statistical analysis, a sampling distribution examines the range of differences in results obtained from studying multiple samples from a larger population.

A thought experiment about sampling distributions: Imagine you take a random sample of individuals from a target population, measure something and then calculate a sample statistic, the “mean” let’s ...

Stratified random sampling is a method of sampling that divides a population into smaller groups that form the basis of test samples.

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.

Here are four programs that demonstrate sampling distributions. For each one, a "population" of 20,000 elements is established. The user selects a sample size and random samples are drawn from the ...