6. What **NOT** true about the CLT (Central limit theorem)? * As long as sample sizes are greater than 30, the mean of the sample means (mu of X- bars) is = population mean (mu) As long as the parent population is normal, the sample means will be normally distributed, regardless of sample size 句。 the sampling distribution of the sample means (X-bars) is normally distributed, regardless of sample size The standard deviation of the of the X-bars = sigma / SQRT(N) 火 Send To →)

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ISBN:9781119256830
Author:Amos Gilat
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Question 6

6. What **NOT** true about the CLT (Central limit theorem)? *
As long as sample sizes are greater than 30, the mean of the sample means (mu of X-
bars) is = population mean (mu)
As long as the parent population is normal, the sample means will be normally
distributed, regardless of sample size
句。
the sampling distribution of the sample means (X-bars) is normally distributed,
regardless of sample size
The standard deviation of the of the X-bars = sigma / SQRT(N)
火
Send To
→)
Transcribed Image Text:6. What **NOT** true about the CLT (Central limit theorem)? * As long as sample sizes are greater than 30, the mean of the sample means (mu of X- bars) is = population mean (mu) As long as the parent population is normal, the sample means will be normally distributed, regardless of sample size 句。 the sampling distribution of the sample means (X-bars) is normally distributed, regardless of sample size The standard deviation of the of the X-bars = sigma / SQRT(N) 火 Send To →)
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