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Author Question: The p-value for a hypothesis test is defined as the probability of observing ... (Read 38 times)

Garrulous

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on: Jun 24, 2018
The p-value for a hypothesis test is defined as the probability of observing a__________________ ___________________ ______________.
 
  A) critical value at least as extreme as the one selected for the hypothesis test, assuming the null hypothesis is true
  B) critical value at least as extreme as the one selected for the hypothesis test, assuming the null hypothesis is false
  C) sample mean at least as extreme as the one selected for the hypothesis test, assuming the null hypothesis is true
  D) population mean at least as extreme as the one selected for the hypothesis test, assuming the alternative hypothesis is true

Question 2

The advantage of using the Tukey-Kramer multiple comparisons procedure is that the probability of making a Type I error applies to all possible combinations of sample pairs.
 
  Indicate whether the statement is true or false
Business Statistics ¦ Donnelly ¦ 2nd Edition
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ntsoane kedibone

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Reply #1 on: Jun 24, 2018
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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Garrulous

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Reply 2 on: Jun 24, 2018
Great answer, keep it coming :)

coreycathey

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Reply 3 on: Yesterday
Wow, this really help

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