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.

Distribution of Sample Means Sampling with Replacement Example 1: The population from which samples are selected is {1,2,3,4,5,6}. This population has a mean of 3.5 and a standard deviation of 1.70783 ...

The spread or standard deviation of this sampling distribution would capture the sample-to-sample variability of your estimate of the population mean. It would thus be a measure of the amount of ...

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 ...

In this article, acceptance sampling plans are developed for the Marshall-Olkin extended exponential distribution percentiles when the life test is truncated at a pre-specified time. The minimum ...