1. Use Statistix to compare the mean sizes/mileages for levels 1 and 2 of your qualitative variable. In Statistix, you will need to omit all level 3 observations in your data set to create this printout. Conduct the printout for a two-tailed test in Statistix. Attach the printout here and answer the following questions. Two-Sample T Tests for Mileage by Model Model N 25 25 Difference Mean 52579 53176 -596.88 SD SE 47143 9428.6 31799 6359.7 40210 11373 T-Tests for Mean Difference Null Hypothesis: difference Alternative Hyp: difference +0 Method Variances DE T P Lower 95% C.I. Upper 95% C.I. Pooled Equal 48 -0.05 Satterthwaite Unequal 42.1 -0.05 0.9584 0.9584 -23464 -23547 22270 22353 Homogeneity of Variances DE P P Folded F Test (two-sided) 24,24 2.20 0.0594 Cases Included 50 Missing Cases 0 a. b. Which row on the printout, equal or unequal variances, would be the correct row to use to compare the two population means? (2 points) Unequal because p=0.0594 which is < the a of .1 and therefore it is low State the rejection region you would use if you wanted to conduct a two-tailed test. You choose alpha. (2 points) (Assume for this problem that you are working with 50 degrees of freedom - I know you are not, but that is the row I want you to use in the table). At alpha =h.05 we C. Use the confidence interval on the printout to make an inference about which of the two populations means is larger (in the words of the problem). Make sure to state your measure of reliability. (2 points)