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2. A researcher is testing the effect of a new cold and flu medication on reaction time. A sample of n 16 students is obtaine

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Ho :   µ1 - µ2 =   0                  
Ha :   µ1-µ2 ╪   0                  
                          
Level of Significance ,    α =    0.05                  
                          

difference in sample means =    x̅1-x̅2 =    22.0000   -   14.0   =   8.000  
                          
pooled std dev , Sp=   √([SS1 + SS2]/(n1+n2-2)) =    4.8990                  
std error , SE =    Sp*√(1/n1+1/n2) =    2.6458                  
                          
t-statistic = ((x̅1-x̅2)-µd)/SE = (   8.0000   -   0   ) /    2.65   =   3.02
                          
Degree of freedom, DF=   n1+n2-2 =    12                  
p-value =        0.0106 (excel function: =T.DIST.2T(t stat,df) )              
Conclusion:     p-value <α , Reject null hypothesis                      
                          
There is enough evidence that there is a significant effect

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