Whenever a Sampled Population Is Normally Distributed or Whenever the Conditions

question 2

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.

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