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Which of the following statements about the Central Limit Theorem is true?


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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 meanμ.



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The Central Limit Theorem states that the sampling distribution of the population meanμis approximately normal provided thatn≥ 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 meanμprovided thatn≥ 30.

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Introductory Statistics: A Problem-Solving Approach

Introductory Statistics: A Problem-Solving Approach


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