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Author Question: It is desired to test H0: = 40 against H1: < 40 using = 0.10. The population in question is ... (Read 63 times)

Kthamas

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It is desired to test H0: μ = 40 against H1: μ < 40 using α = 0.10. The population in question is uniformly distributed with a standard deviation of 10. A random sample of 36 will be drawn from this population. If μ is really equal to 35, what is the probability that the hypothesis test would lead the investigator to commit a Type II error?
◦ 0.9573
◦ 0.0854
◦ 0.0427
◦ 0.4573


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Marked as best answer by Kthamas on Jan 16, 2020

tkempin

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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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Kthamas

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Reply 2 on: Jan 16, 2020
Wow, this really help


covalentbond

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Reply 3 on: Yesterday
:D TYSM

 

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