True or False?! 1-- The central limit theorem always holds true, regardless of t
ID: 3429724 • Letter: T
Question
True or False?!
1-- The central limit theorem always holds true, regardless of the sample size.
2-- According to the central limit theorem, the mean of the distribution of sample means will be the same as the original population mean.
3-- According to the central limit theorem, the standard deviation of the distribution of sample means will be the original population standard deviation divided by N (the sample size).
4-- The typical distance of a sample mean from the true population mean is measured by the standard error of the means.
5-- If the original population has a bimodal distribution, the distribution of sample means for that population, with N = 100 for each sample, will also have a bimodal distribution.
Explanation / Answer
1-- The central limit theorem always holds true, regardless of the sample size. FALSE
2-- According to the central limit theorem, the mean of the distribution of sample means will be the same as the original population mean. TRUE
3-- According to the central limit theorem, the standard deviation of the distribution of sample means will be the original population standard deviation divided by N (the sample size). FALSE
4-- The typical distance of a sample mean from the true population mean is measured by the standard error of the means. TRUE
5-- If the original population has a bimodal distribution, the distribution of sample means for that population, with N = 100 for each sample, will also have a bimodal distribution. FALSE
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