Central Limit Theorem Definition

The greater the sample size, the closers the shape of the sample distributions mean and standard deviation will approach the normal distributions shape of the mean and standard deviation.

Mean:

Central Limit Theorem (mean) is Mx = M

 

Standard Error:

The central limit theorem's standard error is standard deviation of x = standardiviation over squaroot of n

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Last Modified on September 7, 2013 by JoeStat

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