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 μ because the mean of the sampling distribution of the sample mean equals μ.
B) is an efficient estimator of the population mean μ because the mean of the sampling distribution of the sample mean equals μ.
C) is an unbiased estimator of the population mean μ because the mean of the sampling distribution of the sample mean equals μ.
D) is a biased estimator of the population mean μ because the mean of the sampling distribution of the sample proportion equals p.