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The Central Limit Theorem states that the sample mean\(\style{font-family:Times New Roman;}{\overline x}\)is always equal to the population mean*μ.*

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The Central Limit Theorem states that the sampling distribution of the population mean*μ*is approximately normal provided that*n*≥ 30.

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The Central Limit Theorem states that the sampling distribution of the sample mean\(\style{font-family:Times New Roman;}{\overline x}\)is approximately normal for large sample sizes (*n*≥ 30).

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The Central Limit Theorem states that the sample mean\(\style{font-family:Times New Roman;}{\overline x}\)is equal to the population mean*μ*provided that*n*≥ 30.