Basic Demo

Author(s)

David M. Lane

Prerequisites

prerequisites

The distribution of a sample statistic (mean, median, etc.) from an infinite number of samples is called a "sampling distribution". In this simulation, the sampling distribution is approximated by including a sufficiently large number of samples in the distribution. Each sample, on the other hand, consists of a fixed number of data points from the population (called "sample size"), and in turn, contributes only one data point to the sampling distribution. The standard deviation of a sampling distribution is called the "standard error", as opposed to the standard deviation in the population.

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