Suppose X follows an arbitrary distribution with mean μ and variance . We collected a sample and the sample size is 100. What is the distribution of the sample average and why can we make that claim? (Note: if you do not know how to insert the special characters like mu and sigma squared, just copy from the question)

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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 Suppose X follows an arbitrary distribution with mean μ and variance . We collected a sample and the sample size is 100. What is the distribution of the sample average and why can we make that claim? (Note: if you do not know how to insert the special characters like mu and sigma squared, just copy from the question) 

Expert Solution
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According to the Central Limit Theorem, when a sample of size n is drawn from any population with mean μ and variance σ2, the for large value of n30, the sampling distribution of the sample mean is approximately normal with mean μ and variance σ2n.

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