Following is a group of 95% simultaneous Bonferroni confidence intervals. Which mean pairs (if any) appear to differ and how? Mean pair Confidence interval U1 - U2 (-7.817, 16.845) U1 - U3 (-15.118, 9.698) U1 - U4 (-13.868, 10.948) 42 - U3 (-18.720, 6.836) U2 - U4 (-17.470, 7.686) U3 - U4 (-10.479, 12.980) a) u1 > U2 and u2 > U3 and u4 > u1 ( b) U2 > up and u4 > U3 O c) u1 > u3 and u1 > u4 and u2 > u4 O d) None of the mean pairs appears to differ.We are interested in seeing if different course formats lead to a significant grading difference. Specifically, we want to know if the days on which a class meets have an effect on overall performance. We select a course that has attendance options of MWF, TR, MTRF, sprint format (compressed schedule), and summer term format (highly compressed schedule). For each format, the proportion of total points scored is recorded. A one-way ANOVA summary appears below: Do the mean scores appear to differ for different formats? State the null hypothesis, test statistic, critical value, and conclusion. (Use 0: = 0.01). G) a) TS = 0.32; CV = 3.65; fail to reject H0; the mean score does not appear to be different for the formats. 0 b) TS = 32.00; CV = 3.65; reject H0; the mean score does not appear to be different for the formats. 0 c) T5 = 0.32; CV = 2.53; fail to reject H0; the mean score does not appear to be different for the formats. 0 d) TS = 0.32; CV = 3.65; fail to reject H0; the mean score does appear to be different for the formats. The linear regression model assumes the error random variable is: a) centered at some positive value 0 b) normally distributed 0 c) a latent variable with an unknown distribution 0 d) a constant value