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According to the Central Limit Theorem, If Is the Mean

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According to the Central Limit Theorem, if According to the Central Limit Theorem, if is the mean of a simple random sample taken from a large population, and if the N population values are not normally distributed, the sampling distribution of nevertheless approaches a normal distribution when n 30 and also n < 0.05N, because these values make the approximation almost perfect. is the mean of a simple random sample taken from a large population, and if the N population values are not normally distributed, the sampling distribution of According to the Central Limit Theorem, if is the mean of a simple random sample taken from a large population, and if the N population values are not normally distributed, the sampling distribution of nevertheless approaches a normal distribution when n 30 and also n < 0.05N, because these values make the approximation almost perfect. nevertheless approaches a normal distribution when n According to the Central Limit Theorem, if is the mean of a simple random sample taken from a large population, and if the N population values are not normally distributed, the sampling distribution of nevertheless approaches a normal distribution when n 30 and also n < 0.05N, because these values make the approximation almost perfect. 30 and also n < 0.05N, because these values make the approximation almost perfect.

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