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The Following MINITAB Output Display Presents the Results of a Hypothesis

Question 21

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The following MINITAB output display presents the results of a hypothesis test for the difference μ1μ2\mu _ { 1 } - \mu _ { 2 } between two population means.  The following MINITAB output display presents the results of a hypothesis test for the difference  \mu _ { 1 } - \mu _ { 2 }  between two population means.   Difference  = \mathrm { mu } ( \mathrm { X } 1 )  - \mathrm { mu } ( \mathrm { X } 2 )   Estimate for difference:  - 10.373   95 \%  CI for difference:  ( - 34.072,13.326 )    \mathrm { T } -  Test of difference  = 0 (  vs not  = )  : \quad  T-Value  = - 0.857889   \text { P-Value } = 1.593507 \quad \text { DF } = 13  How many degrees of freedom are there for the test statistic? A)  10.373 B)  12 C)  1.593507 D)  13 Difference =mu(X1) mu(X2) = \mathrm { mu } ( \mathrm { X } 1 ) - \mathrm { mu } ( \mathrm { X } 2 )
Estimate for difference: 10.373- 10.373
95%95 \% CI for difference: (34.072,13.326) ( - 34.072,13.326 )
T\mathrm { T } - Test of difference =0(= 0 ( vs not =) := ) : \quad T-Value =0.857889= - 0.857889
 P-Value =1.593507 DF =13\text { P-Value } = 1.593507 \quad \text { DF } = 13 How many degrees of freedom are there for the test statistic?


A) 10.373
B) 12
C) 1.593507
D) 13

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