Walter is interested in whether people who eat different amounts of ice cream (1 vs. 2 vs. 3 scoops) have different happiness levels. He went to his local ice cream shop and collected the data below. Higher scores indicate greater happiness. Fill in the rest of the Factorial ANOVA summary table. Make sure to provide your F-critical value in order to indicate whether the p-value is greater/less than the alpha (12 pts). Source SS df MS F p Treatment (Scoops) Error 57.0 Total 117.667 11
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The following were obtained from a repeated-measures study comparing three treatment conditions. Person Treatment 1 Treatment 2 Treatment 3 Person Totals A 1 1 4 P = 6 B 3 4 8 P = 15 C 0 2 7 P = 9 D 0 0 6 P = 6 E 1 3 5 P = 9 M = 1 M = 2 M = 6 T = 5 T = 10 T = 30 SS = 6 SS = 10 SS = 10 N = 15 G = 45 ΣX² =231 Fill-in the missing values in the below repeated-measures ANOVA summary table. Make sure to show all your calculations in order to receive credit for your answers. Source SS df MS F Between Treatments 70 2 _ _ Within Treatments 26 12 Between subjects _ 4 Error _ 8 _ Total 96 14
Patha S.
The ANOVA table using Excel for the problem situation described in Question 8 is shown below. ANOVA Source SS df MS P-value F Crit Fat Type 8.75 3 2.9167 5.8334 0.0038 Corn Masa Type 139.389 2 69.6945 139.389 0.0000 Interaction 1.5 6 0.25 0.5 0.802 Within 12 24 0.5 Total 161.639 35 What is the value of the test statistic needed to test the global utility of the model? In other words, what is the value needed to test for significant differences among the treatment means? Use α = 0.05. 5.8334 139.389 13.6035 145.2224 27.2071
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