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Based on a problem in Diez, Barr, and Cetinkaya-Rundel (2015). The fuel economy of randomly selected cars with automatic and

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Ho :   µ1 - µ2 =   0                  
Ha :   µ1-µ2 ╪   0                  
                          
Level of Significance ,    α =    0.02                  
                          
Sample #1   ---->   1                  
mean of sample 1,    x̅1=   16.120                  
standard deviation of sample 1,   s1 =    3.580                  
size of sample 1,    n1=   26                  
                          
Sample #2   ---->   2                  
mean of sample 2,    x̅2=   19.850                  
standard deviation of sample 2,   s2 =    4.510                  
size of sample 2,    n2=   26                  
                          
difference in sample means =    x̅1-x̅2 =    16.1200   -   19.9   =   -3.730  
                          
pooled std dev , Sp=   √([(n1 - 1)s1² + (n2 - 1)s2²]/(n1+n2-2)) =    4.0716                  
std error , SE =    Sp*√(1/n1+1/n2) =    1.1293                  
                          
t-statistic = ((x̅1-x̅2)-µd)/SE = (   -3.7300   -   0   ) /    1.13   =   -3.3030
                          
Degree of freedom, DF=   n1+n2-2 =    50                  
p-value =        0.0018 (excel function: =T.DIST.2T(t stat,df) )              
Conclusion:     p-value <α , Reject null hypothesis                      

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