Using a significance level of 0.05, the critical value of the appropriate test statistic to conduct the test of hypothesis for the belief that there is a difference in the mean productivity is:

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An operations manager with General Motors corporate offices wishes to determine if the true mean productivity of employees at its Detroit, Michigan plant is different from its Opel/Vauxhall Plant in Bochum, Germany.  For this analysis, productivity will be measured by the number of cars that employees assemble per day.  Random samples of employees in Detroit and Bochum are selected, and the productivity scores at each assembly plant are recorded.  The following results are obtained.                  

                                                                       

t-Test: Two-Sample Assuming Equal Variances

 
 

Detroit

Bochum

Mean

58.5

54.3

Variance

42

56

Observations

13

13

Pooled Variance

XX

 

Hypothesized Mean Difference

0

 

df

XX

 

t Stat

XXXXX

 

P(T<=t) one-tail

XXXXX

 

t Critical one-tail

XXXXX

 

P(T<=t) two-tail

XXXXX

 

t Critical two-tail

XXXXX

 

 

 

Using a significance level of 0.05, the critical value of the appropriate test statistic to conduct the test of hypothesis for the belief that there is a difference in the mean productivity is:

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