The central limit theorem says that the sampling distribution of the sample mean is approximately normal O a. if the sample size is large, regardless of the parent population O b. only if both the...


The central limit theorem says that the sampling distribution of the sample mean is<br>approximately normal<br>O a. if the sample size is large, regardless of the parent population<br>O b. only if both the sample size is large and the parent population is normal<br>O c. only if both the sample size is large and the values of the mean and the<br>variance of the parent population are unknown<br>O d. only if the mean and variance of the parent population are known<br>O e. only it both the parent population is normal and themean of the parent<br>population is known<br>

Extracted text: The central limit theorem says that the sampling distribution of the sample mean is approximately normal O a. if the sample size is large, regardless of the parent population O b. only if both the sample size is large and the parent population is normal O c. only if both the sample size is large and the values of the mean and the variance of the parent population are unknown O d. only if the mean and variance of the parent population are known O e. only it both the parent population is normal and themean of the parent population is known

Jun 02, 2022
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