Suppose you conduct a hypothesis test about a population mean when the standard deviation is known (a “z test”) by calculating a z statistic and determining whether to reject the null hypothesis. Assume that your z statistic is a positive value and that you will reject the null hypothesis when z is very large. Listed below are possible changes to the study design or to the results of the study. Determine whether the z statistic increases, decreases, or stays the same for each of these changes.  A switch from using a two-tailed test to a one-tailed test              A. Decrease          B. Increase           C. Stays the same  An increase in the population variance (σ²)              A. Decrease          B. Increase           C. Stays the same  An increase in the significance level (such as using α = .05 instead of α = .01)              A. Decrease          B. Increase           C. Stays the same

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Suppose you conduct a hypothesis test about a population mean when the standard deviation is known (a “z test”) by calculating a z statistic and determining whether to reject the null hypothesis. Assume that your z statistic is a positive value and that you will reject the null hypothesis when z is very large. Listed below are possible changes to the study design or to the results of the study. Determine whether the z statistic increases, decreases, or stays the same for each of these changes. 

A switch from using a two-tailed test to a one-tailed test    

         A. Decrease

         B. Increase 

         C. Stays the same 

An increase in the population variance (σ²)    

         A. Decrease

         B. Increase 

         C. Stays the same 

An increase in the significance level (such as using α = .05 instead of α = .01)    

         A. Decrease

         B. Increase 

         C. Stays the same 

A decrease in the sample size (n)   

         A. Decrease

         B. Increase 

         C. Stays the same 

 

 
Suppose you fail to reject the null hypothesis. Then, the results of your study are  _______
     A. Significant 
     B. Not significant 
7. Factors that influence a hypothesis test
Suppose you conduct a hypothesis test about a population mean when the standard deviation is known (a "z test") by calculating a z statistic and
determining whether to reject the null hypothesis. Assume that your z statistic is a positive value and that you will reject the null hypothesis when z is
very large. Listed below are possible changes to the study design or to the results of the study. Determine whether the z statistic increases, decreases,
or stays the same for each of these changes. Use the dropdown menus in the right-hand column to indicate your choice.
Change in Study Design or Results
The z statistic
A switch from using a two-tailed test to a one-tailed test
An increase in the population variance (ơ²)
An increase in the significance level (such as using a = .05 instead of a = .01)
A decrease in the sample size (n)
Suppose you fail to reject the null hypothesis. Then, the results of your study are
Transcribed Image Text:7. Factors that influence a hypothesis test Suppose you conduct a hypothesis test about a population mean when the standard deviation is known (a "z test") by calculating a z statistic and determining whether to reject the null hypothesis. Assume that your z statistic is a positive value and that you will reject the null hypothesis when z is very large. Listed below are possible changes to the study design or to the results of the study. Determine whether the z statistic increases, decreases, or stays the same for each of these changes. Use the dropdown menus in the right-hand column to indicate your choice. Change in Study Design or Results The z statistic A switch from using a two-tailed test to a one-tailed test An increase in the population variance (ơ²) An increase in the significance level (such as using a = .05 instead of a = .01) A decrease in the sample size (n) Suppose you fail to reject the null hypothesis. Then, the results of your study are
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