Which of the following statements is not consistent with the Central Limit Theorem? A) The Central Limit Theorem applies to non-normal distributions. B) The Central Limit Theorem indicates that the mean of the sampling distribution will be equal to the population mean. C) The Central Limit Theorem indicates that the sampling distribution will be approximately normal when the sample size is sufficiently large. D) The Central Limit Theorem applies without regard to the size of the sample.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
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Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
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Which of the following statements is not consistent with the Central Limit Theorem?

A) The Central Limit Theorem applies to non-normal distributions.

B) The Central Limit Theorem indicates that the mean of the sampling distribution will be equal to the population mean.

C) The Central Limit Theorem indicates that the sampling distribution will be approximately normal when the sample size is sufficiently large.

D) The Central Limit Theorem applies without regard to the size of the sample.

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