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Which of the following statements is NOT true about Central Limit Theorem? A. The population mean and the mean of the sampling distribution of the means are equal. B. If you take repeatedly independent random samples of size n from any population, then when n is large, the distribution of the sample means will approach a normal distribution. C. The central limit theorem tells us exactly what the shape of the distribution of the means will be when we draw repeated samples from a given population. D. The mean of the sampling distributions of the means, the standard deviation of the sampling distribution of the means, and variance is the same as the population means, variance of the population, and standard deviation.

Which of the following statements is NOT true about Central Limit Theorem? A. The population mean and the mean of the sampling distribution of the means are equal. B. If you take repeatedly independent random samples of size n from any population, then when n is large, the distribution of the sample means will approach a normal distribution. C. The central limit theorem tells us exactly what the shape of the distribution of the means will be when we draw repeated samples from a given population. D. The mean of the sampling distributions of the means, the standard deviation of the sampling distribution of the means, and variance is the same as the population means, variance of the population, and standard deviation.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
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Which of the following statements is NOT true about Central Limit Theorem? A. The population mean and the mean of the sampling distribution of the means are equal. B. If you take repeatedly independent random samples of size n from any population, then when n is large, the distribution of the sample means will approach a normal distribution. C. The central limit theorem tells us exactly what the shape of the distribution of the means will be when we draw repeated samples from a given population. D. The mean of the sampling distributions of the means, the standard deviation of the sampling distribution of the means, and variance is the same as the population means, variance of the population, and standard deviation. 9 Consider the nonulation consisting of values 04 6) Ligt oll tl. int
Transcribed Image Text:Which of the following statements is NOT true about Central Limit Theorem? A. The population mean and the mean of the sampling distribution of the means are equal. B. If you take repeatedly independent random samples of size n from any population, then when n is large, the distribution of the sample means will approach a normal distribution. C. The central limit theorem tells us exactly what the shape of the distribution of the means will be when we draw repeated samples from a given population. D. The mean of the sampling distributions of the means, the standard deviation of the sampling distribution of the means, and variance is the same as the population means, variance of the population, and standard deviation. 9 Consider the nonulation consisting of values 04 6) Ligt oll tl. int
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