The Telemarketing Data and the Excel Output of a Two-Way ANOVA Position of Advertisement Time of Day 10:00 morning On the Hour On the Half-Hour Early in Program 42 35 63 35 40 65 41 39 66 4:00 afternoon 60 58 86 61 63 82 58 53 82 9:00 evening 105 96 129 94 97 124 104 102 129 ANOVA: Two-Factor With Replication Summary Half-Hour Early Hour Morning Count 3 3 3 3 Sum 118 114 194 145 Average 39.33 38.00 64.67 48.33 Variance 14.33 7.00 2.33 2.33 Afternoon Count 3 3 3 3 Sum 179 174 250 194 Average 59.67 58.00 83.33 64.67 Variance 2.33 25.00 5.33 12.33 Evening Count 3 3 3 3 303 295 382 312 Sum Average Variance 101.00 98.33 127.33 104.00 37.00 10.33 8.33 7.00 Total Count 9 9 9 9 Sum 600 583 826 651 Average 66.67 64.78 91.78 72.33 718.94 Variance 754.00 780.44 619.50 Late Total 12 571 47.58 128.08 12 797 66.42 118.81 12 1,292 107.67 156.42 Late in Program 50 47 48 68 61 65 101 105 106 ANOVA Source of Variation Sample Columns Interaction Error Total 150 100 50 0 Hour Half- Hour SS 22,665.06 4,118.44 50.72 267.33 27,101.56 Early Late df 2 3 6 24 MS 11,332.53 1,372.81 8.45 11.139 35 Morning Afternoon -Evening F P-Value 1,017.38 .0000 123.25 .0000 .76 .6089 F crit 3.403 3.009 2.508 (d) Make pairwise comparisons of the morning, afternoon, and evening times by using Tukey simultaneous 95 percent confidence intervals. (Round your answers to 2 decimal places. Negative amounts should be indicated by a minus sign.) Tukey q.05 = 3.53, MSE = 11.139 M - A M - E [] [ | (e) Make pairwise comparisons of the four ad positions by using Tukey simultaneous 95 percent confidence intervals. (Round your answers to 2 decimal places. Negative amounts should be indicated by a minus sign.) 1-2 [] 1-3 [] u1u4 [] 2 - 3 [] 2-4 [ 34 [] The Telemarketing Data and the Excel Output of a Two-Way ANOVA Position of Advertisement Time of Day 10:00 morning On the Hour On the Half-Hour Early in Program 42 35 63 35 40 65 41 39 66 4:00 afternoon 60 58 86 61 63 82 58 53 82 9:00 evening 105 96 129 94 97 124 104 102 129 ANOVA: Two-Factor With Replication Summary Half-Hour Early Hour Morning Count 3 3 3 3 Sum 118 114 194 145 Average 39.33 38.00 64.67 48.33 Variance 14.33 7.00 2.33 2.33 Afternoon Count 3 3 3 3 Sum 179 174 250 194 Average 59.67 58.00 83.33 64.67 Variance 2.33 25.00 5.33 12.33 Evening Count 3 3 3 3 303 295 382 312 Sum Average Variance 101.00 98.33 127.33 104.00 37.00 10.33 8.33 7.00 Total Count 9 9 9 9 Sum 600 583 826 651 Average 66.67 64.78 91.78 72.33 718.94 Variance 754.00 780.44 619.50 Late Total 12 571 47.58 128.08 12 797 66.42 118.81 12 1,292 107.67 156.42 Late in Program 50 47 48 68 61 65 101 105 106 ANOVA Source of Variation Sample Columns Interaction Error Total 150 100 50 0 Hour Half- Hour SS 22,665.06 4,118.44 50.72 267.33 27,101.56 Early Late df 2 3 6 24 MS 11,332.53 1,372.81 8.45 11.139 35 Morning Afternoon -Evening F P-Value 1,017.38 .0000 123.25 .0000 .76 .6089 F crit 3.403 3.009 2.508 (d) Make pairwise comparisons of the morning, afternoon, and evening times by using Tukey simultaneous 95 percent confidence intervals. (Round your answers to 2 decimal places. Negative amounts should be indicated by a minus sign.) Tukey q.05 = 3.53, MSE = 11.139 M - A M - E [] [ | (e) Make pairwise comparisons of the four ad positions by using Tukey simultaneous 95 percent confidence intervals. (Round your answers to 2 decimal places. Negative amounts should be indicated by a minus sign.) 1-2 [] 1-3 [] u1u4 [] 2 - 3 [] 2-4 [ 34 []