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By: Neil E. Cotter |
Statistics |
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Central limit theorem |
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Theorem statement |
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Thm: Given independent and identically distributed random variables Xi for i = 1 to n, we define the normalized sample average, Z, as follows:
where .
Then as n approaches infinity, the probability density function for Z approaches a standard normal (i.e., standard gaussian) distribution, (see [1]):
Ref: [1] Ronald E. Walpole, Raymond H. Myers, Sharon L. Myers, and Keying Ye, Probability and Statistics for Engineers and Scientists, 8th Ed., Upper Saddle River, NJ: Prentice Hall, 2007.