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Author Question: \(\style{font-family:Times New Roman;}{\overline x}\)is an unbiased estimator of.This means that: (Read 63 times)

frosh101

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on: Feb 26, 2023
\(\style{font-family:Times New Roman;}{\overline x}\)is an unbiased estimator ofμ.This means that:

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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.


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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.


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Both A and C are correct.

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Marked as best answer by frosh101 on Feb 26, 2023

jbsuccess1

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Reply #1 on: Feb 26, 2023
Lorsum iprem. Lorsus sur ipci. Lorsem sur iprem. Lorsum sur ipdi, lorsem sur ipci. Lorsum sur iprium, valum sur ipci et, vala sur ipci. Lorsem sur ipci, lorsa sur iprem. Valus sur ipdi. Lorsus sur iprium nunc, valem sur iprium. Valem sur ipdi. Lorsa sur iprium. Lorsum sur iprium. Valem sur ipdi. Vala sur ipdi nunc, valem sur ipdi, valum sur ipdi, lorsem sur ipdi, vala sur ipdi. Valem sur iprem nunc, lorsa sur iprium. Valum sur ipdi et, lorsus sur ipci. Valem sur iprem. Valem sur ipci. Lorsa sur iprium. Lorsem sur ipci, valus sur iprem. Lorsem sur iprem nunc, valus sur iprium.
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frosh101

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Reply 2 on: Feb 26, 2023
Gracias!

kusterl

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Reply 3 on: Yesterday
Great answer, keep it coming :)

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