Central Limit Theorem - Maple Programming Help

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Central Limit Theorem

Main Concept

A sample distribution Y derived from distribution X is a distribution created by taking, for the value of Y, the average value of a sample of k instances of the variable X.


The Central Limit Theorem states that any sample distribution approaches a normal distribution as the size of the sample increases.


A discrete distribution X is shown. Increase the sample size and notice that as the size increases, the resulting sample distribution Y (blue bars) approaches the normal distribution (red curve) which has the same mean and standard deviation as Y.


sample size:

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