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Which of the following statements is NOT true about the Central Limit Theorem? If the population itself is normal, the sampling distribution of the mean

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Which of the following statements is NOT true about the Central Limit Theorem? If the population itself is normal, the sampling distribution of the mean will be exactly normal regardless of sample size. The Central Limit Theorem is a factual statement about the distribution of means. If the population is skewed, it may require a sample size of 30 or more before the means closely approximate a normal distribution. The distribution of sample means is always a Uniform Distribution

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