Whenever a Sampled Population Is Normally Distributed or Whenever the Conditions

Multiple Choice

Whenever a sampled population is normally distributed or whenever the conditions of the central limit theorem are fulfilled, the sample mean, :

A) is a consistent estimator of the population mean,, because the mean of the sampling distribution of the sample mean, equals
B) is an efficient estimator of the population mean,, because the mean of the sampling distribution of the sample mean equals
C) is an unbiased estimator of the population mean,, because the mean of the sampling distribution of the sample mean equals
D) is a biased estimator of the population mean,, because the mean of the sampling distribution of the sample proportion equals p
E) is an efficient estimator of the population mean,, because the mean of the sampling distribution of the sample proportion equals p