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Author Question: It is desired to test H0: = 50 against HA: 50 using = 0.10. The population in question is ... (Read 45 times)

Melani1276

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on: Feb 14, 2020

Question 1

It is desired to test H0: μ = 55 against Ha: μ < 55 using α = .10. The population in question is uniformly distributed with a standard deviation of 15. A random sample of 49 will be drawn from this population. If μ is really equal to 50, what is the power of this test?
◦ .8531
◦ .2938
◦ .1469
◦ .3531

Question 2

It is desired to test H0: μ = 50 against HA: μ ≠ 50 using α = 0.10. The population in question is uniformly distributed with a standard deviation of 15. A random sample of 49 will be drawn from this population. If μ is really equal to 45, what is the power of the test?
◦ 0.7544
◦ 0.8959
◦ 0.2456
◦ 0.1041
Statistics ¦ McClave, Sincich, Tamarack ¦ 12th Edition
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Marked as best answer by Melani1276 on Feb 14, 2020

rekilledagain

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Reply #1 on: Feb 14, 2020
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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Melani1276

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Reply 2 on: Feb 14, 2020
Wow, this really help

kilada

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

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