If $X_1, X_2, X_3, dots, X_n$ are a random sample from an infinite population with mean $mu$ and variance $sigma^2$ then for the large value of $n$ the limiting distribution of $frac{ar{X} - mu}{frac{sigma}{sqrt{n}}}$ is
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The Central Limit Theorem (CLT) states that for a large enough sample size, the distribution of the sample mean approaches a normal distribution with mean equal to the population mean and variance equal to the population variance divided by the sample size. In Show more…
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