C
Chandrima
Member
A tax preparation firm is interested in comparing quality of work of two offices. Office A - out of 250 tax returns, 35 have errors. Office B - out of 300 tax returns, 27 have errors. Test hypothesis that the proportion of erroneous return are equal at 1% level.
Does the test statistic become [(X1 bar - X2 bar) - (mu1 - mu2)] /sqrt[(sigma1^2/n1) + (sigma2^2/n2)] ~ N(0,1) ?
Considering H0 : mu1 - mu2 = 0 and H1 : mu1 - mu2 not equal to 0
then we need to put X1 bar = sigma1 = 35/250 = 0.14 and X2 bar = sigma2 = 27/300 = 0.09, n1 = 250, n2 = 300, (mu1 - mu2) =0 in test statistic? Then I am getting 4.87 as T.S. But in the answer T.S. is given as 1.87. How???
Does the test statistic become [(X1 bar - X2 bar) - (mu1 - mu2)] /sqrt[(sigma1^2/n1) + (sigma2^2/n2)] ~ N(0,1) ?
Considering H0 : mu1 - mu2 = 0 and H1 : mu1 - mu2 not equal to 0
then we need to put X1 bar = sigma1 = 35/250 = 0.14 and X2 bar = sigma2 = 27/300 = 0.09, n1 = 250, n2 = 300, (mu1 - mu2) =0 in test statistic? Then I am getting 4.87 as T.S. But in the answer T.S. is given as 1.87. How???