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Author Question: Identify the Type I error or Type II error as indicated.A manufacturer claims that the mean amount ... (Read 80 times)

s.tung

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on: Jan 18, 2020
Identify the Type I error or Type II error as indicated.

A manufacturer claims that the mean amount of juice in its bottles is 16.1 ounces. A consumer advocacy group wants to perform a hypothesis test to determine whether the mean amount is actually less than this. The hypotheses are:
H0: μ = 16.1 ounces
Ha: μ < 16.1 ounces
Identify the Type I error.
◦ Reject the claim that mean amount is 16.1 ounces when in fact the mean amount is 16.1 ounces.
◦ Fail to reject the claim that mean amount is 16.1 ounces when in fact the mean amount is 16.1 ounces.
◦ Reject the claim that mean amount is 16.1 ounces when in fact the mean amount is less than

◦ Fail to reject the claim that mean amount is 16.1 ounces when in fact the mean amount is less than 16.1 ounces.
Statistical Reasoning for Everyday Life ¦ Bennett, Briggs, Triola ¦ 5th Edition
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Marked as best answer by s.tung on Jan 18, 2020

qytan

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Reply #1 on: Jan 18, 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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s.tung

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Reply 2 on: Jan 18, 2020
Gracias!

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

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