The Central Limit Theorem
Prepared by Chris Boucher
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.

Download the CDF file to view the simulation using the free Wolfram CDF player.