The Central Limit Theorem
The central limit theorem states that the sampling distribution of the sample mean approaches a normal distribution as the size of the sample grows. This means that the histogram of the means of many samples should approach a bell-shaped curve. Each sample consists of 200 pseudorandom numbers between 0 and 100, inclusive.
This simulation runs on desktop using the free Wolfram Player. Download the Wolfram Player here.

Author: Chris Boucher. Open content licensed under CC BY-NC-SA.

View the source code for this simulation