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Home Q & A Board Science-Related Homework Help Mathematics Statistics and Probability
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Lola1 Lola1
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A year ago
\(\style{font-family:Times New Roman;}{\overline x}\)is an unbiased estimator ofμ.This means that:


▸

the standard deviation of the sampling distribution of\(\style{font-family:Times New Roman;}{\overline x}\)is the same as the standard deviation of the underlying distribution (the population) that we want to estimate.



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the mean of the sampling distribution of\(\style{font-family:Times New Roman;}{\overline x}\) is the same as the mean of the underlying distribution (the population) that we want to estimate.



▸

the variance of the sampling distribution of\(\style{font-family:Times New Roman;}{\overline x}\) is the same as the variance of the underlying distribution (the population) that we want to estimate.



▸

Both A and C are correct.

Textbook 
Introductory Statistics: A Problem-Solving Approach

Introductory Statistics: A Problem-Solving Approach


Edition: 3rd
Author:
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rbacon2rbacon2
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A year ago
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