Question: Which statement is not correct? A. The Central Limit Theorem of a sample proportion p indicates that the mean of the sampling distribution of p

Which statement is not correct?

A. The Central Limit Theorem of a sample proportion p indicates that the mean of the sampling distribution of p will be equal to the population proportion p.

B. The Central Limit Theorem of a sample proportion p indicates that the sampling distribution of p can be approximated by a normal distribution is np > 5 and nq > 5.

C. The Central Limit Theorem of a sample proportion p is applied regardless of the sample size n and the population proportion p.

D. The Central Limit Theorem of a sample proportion p is applied to non-normal populations.

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