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A telemarketing firm has studied the effects of two factors on the response to its television advertisements. The first factor is the time of day at which the ad is run, while the second is the position of the ad within the hour. The data in Table attached, which were obtained by using a completely randomized experimental design, give the number of calls placed to an 800 number following a sample broadcast of the advertisement. If we use MegaStat to analyze the data.

a. Test for interaction between time of day and the position of the advertisement with a ?=.05

b. Test the significance of the time of day effects with ?=.05

c. Make a pairwise (Tukey 95% simultaneous confidence intervals) comparison of the morning and evening times.

d. Make a pairwise (Tukey 95% simultaneous confidence intervals) comparison of the the early and late ad positions.

e. Which time of day and advertisement position maximizes the consume response? Compute the 95% (individual) confidence interval for the mean number of calls placed for this time of day/ad position combination.

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Telemarketing: interaction of time and position, pairwise, Tukey, significance
A telemarketing firm has studied the effects of two factors on the response to its television advertisements. The first factor is the time of day at which the ad is run, while the second is the position of the ad within the hour. The data in Table attached, which were obtained by using a completely randomized experimental design, give the number of calls placed to an 800 number following a sample broadcast of the advertisement. If we use MegaStat to analyze the data.

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A telemarketing firm has studied the effects of two factors on the response to its television advertisements.
A telemarketing firm has studied the effects of two factors on the response to its television advertisements. The first factor is the time of day at which the ad is run, while the second is the position of the ad within the hour. The data in Table attached, which were obtained by using a completely randomized experimental design, give the number of calls placed to an 800 number following a sample broadcast of the advertisement. If we use MegaStat to analyze the data.

I will use EXCEL to analyze the dataset. Here is the Excel output:
ANOVA
Source of Variation SS df MS F P-value F crit
Sample 22275.17 2 11137.58 1377.845 1.72E-25 3.402826
Columns 2636.111 3 878.7037 108.7056 4.2E-14 3.008787
Interaction 285.7222 6 47.62037 5.89118 0.000685 2.508189
Within 194 24 8.083333

Total 25391 35

a. Test ...

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