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Author Question: Whenever a sampled population is normally distributed or whenever the conditions of the Central ... (Read 66 times)

gjjjjjdkkkkk3k3k33k

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on: Feb 26, 2023
Whenever a sampled population is normally distributed or whenever the conditions of the Central Limit Theorem are fulfilled, the sample mean\(\style{font-family:Times New Roman;}{\overline x}\):

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


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


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


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

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Marked as best answer by gjjjjjdkkkkk3k3k33k on Feb 26, 2023

koswald

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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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gjjjjjdkkkkk3k3k33k

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Reply 2 on: Feb 26, 2023
Gracias!

bitingbit

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

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