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Whenever a Sampled Population Is Normally Distributed, or Whenever the Conditions

Question 74

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Whenever a sampled population is normally distributed, or whenever the conditions of the Central Limit Theorem are fulfilled, what may be said of the sample mean Whenever a sampled population is normally distributed, or whenever the conditions of the Central Limit Theorem are fulfilled, what may be said of the sample mean   ? A)  It is a consistent estimator of the population mean,, because the mean of the sampling distribution of the sample mean equals. B)  It is an efficient estimator of the population mean,, because the mean of the sampling distribution of the sample mean equals. C)  It is an unbiased estimator of the population mean,, because the mean of the sampling distribution of the sample mean equals. D)  It is an efficient estimator of the population mean,, because the mean of the sampling distribution of the sample proportion equals p. ?


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

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