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partygirl4u59 partygirl4u59
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A year ago
Whenever a sampled population is normally distributed or whenever the conditions of the Central Limit Theorem are fulfilled, the sample mean\(\style{font-family:Times New Roman;}{\overline x}\):


is a consistent estimator of the population meanμ because the mean of the sampling distribution of the sample mean equalsμ.



is an efficient estimator of the population meanμ because the mean of the sampling distribution of the sample mean equalsμ.



is an unbiased estimator of the population meanμ because the mean of the sampling distribution of the sample mean equalsμ.



is a biased estimator of the population meanμ because the mean of the sampling distribution of the sample proportion equalsp.

Textbook 
Introductory Statistics: A Problem-Solving Approach

Introductory Statistics: A Problem-Solving Approach


Edition: 3rd
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melryandionmelryandion
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partygirl4u59 Author
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A year ago
Brilliant
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Yesterday
Good timing, thanks!
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2 hours ago
Thanks
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