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Author Question: We wish to model a sampling situation from a population of 100 samples, where each will be evaluated ... (Read 35 times)

kmoyer2

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on: Feb 26, 2023
We wish to model a sampling situation from a population of 100 samples, where each will be evaluated as either a success or a failure. The proportion of “successes” in the population is known, and a sample without replacement is to be selected. It is proposed to use a binomial random variable to model probability in this model. Which of the following statements is accurate concerning this situation?

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A binomial random variable would be accurate as long as the sampling process used is identical for each trial.


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A geometric random variable would be better in this situation because the population is small and the sampling is without replacement.


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A hypergeometric random variable would be better in this situation because the population is small and the sampling is without replacement.


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A supergeometric random variable would be better in this situation because the population is small and the sampling is without replacement.

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Marked as best answer by kmoyer2 on Feb 26, 2023

Deonnak85

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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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kmoyer2

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Reply 2 on: Feb 26, 2023
Excellent

upturnedfurball

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Reply 3 on: Yesterday
Thanks for the timely response, appreciate it

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