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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.




"The Central Limit Theorem" from The Wolfram Demonstrations Project
 http://demonstrations.wolfram.com/TheCentralLimitTheorem/
Contributed by: Chris Boucher
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