Please help with this homework. I do not just need answers, I would like to know  the calculations. The GLM Procedure Repeated Measures Analysis of Variance Analysis of Variance of Contrast Variables Tests of Hypotheses for Between Subjects Effects   Source             DF       Type 111 SS               Mean Square               F Value           Pr > F Group              1          5.09336806                 5.09336806                 6.12                 0.0216 Error                22        18.31139722               0.83233624       The GLM Procedure Repeated Measures Analysis of Variance Univariate Tests of Hypotheses for within Subjects Effects                                                                                                                           Adj   Pr > F Source             DF       Type 111 SS   Mean Square   F Value Pr > F            G – G              H - F Time    1          2          2.21393611     1.10696806     5.55     0.0071            0.0130             0.0103 Time*Group    2          2.06266944     0.32958182     5.17     0.0096             0.0167             0.0135 Error (time)     44        8.77452778     0.19942109   Greenhouse-Geisser Epsilon  0.7768 Huynh-Feldt Epsilon               0.8628               What is the value for the sums-of-squares that is obtained by finding deviations of the treatment means from the grand mean. ? (Use two-digit decimal) What is the value for SSwithin What is the value for the sums-of-squares that is obtained by finding deviations of the means at each point in time and the grand mean? (Use two-digit decimal) What is the F value that is obtained from MStime / MSresidual? ... View more

data case3; input trait $ 1 test $ 3 count; datalines; L C 22 L C 16 L C 21 L C 17 H C 21 H C 35 H C 33 H C 25 H C 25 H C 28 H T 20 H T 18 H T 22 H T 24 H T 23 H T 19 H T 21 H T 22 ; PROC GLM data=case3; CLASS TRAIT TEST; MODEL SCORE = TRAIT TEST; RUN; proc print; run; ... View more

I am struggling with a two way Anove SAS problem. Question is   researcher was interested in college students' attitudes towards alcohol consumption, and was intrigued by previous research (e.g., Wobble, 2000) that indicated a lack of significant differences between students enrolled in different colleges. The researcher has hypothesized that these results are attributable to confounding effects of gender, a variable that was not controlled in previous studies. For a new investigation, the researcher drew six samples of students, a sample of male students and a sample of female students from each of three colleges: the College of Business Administration, the College of Fine Arts, and the College of Arts and Sciences. She made certain that all students in the samples were seniors and that all were enrolled full‑time in their respective programs. Each student completed the Attitude Toward Alcohol Scale (Tipsey & Stumble, 1977) which yields scores ranging from 50 to 120, with higher scores representing a greater propensity towards alcohol consumption. These are the resulting data:   Gender College Business     Fine Arts     Arts and Sciences Female 83     78     86 91     94     78 76     89     72 72     82     69 88     87     81                 Male 91     88     96 97     104     87 83     99     83 79     92     79 95     97     91               ... View more