Spread the loveSampling distributions are vital in the world of statistics and data analysis. They provide estimations and insight into the characteristics of a population based on samples taken from ...

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

Figure 1: Sampling distributions of estimators can be used to predict the precision and accuracy of estimates of population characteristics.

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 ...