An experiment is conducted to study the effects of two sales approaches-high-pressure (H) and low-pressure (L)-and to study the effects of two sales pitches (1 and 2) on the weekly sales of a product. The data in Table 11.14 on the next page are obtained by using a completely randomized
TABLE 11.14
Results of the Sales Approach Experiment

FIGURE 11.13
Excel Output of a Two-Way ANOVA of the Sales Approach Data

design, and Figure 11.13 gives the Excel output of a two-way ANOVA of the sales experiment data.
a. Perform graphical analysis to check for interaction between sales pressure and sales pitch,
b. Test for interaction by setting α = .05.
c. Test for differences in the effects of the levels of sales pressure by setting α = .05. That is, test the significance of sales pressure effects with α = .05.
d. Calculate and interpret a 95 percent individual confidence interval for µH* - µL€¢
e. Test for differences in the effects of the levels of sales pitch by setting α = .05. That is, test the significance of sales pitch effects with α = .05.
f. Calculate and interpret a 95 percent individual confidence interval for µ€¢1 - µL€¢.
g. Calculate a 95 percent (individual) confidence interval for mean sales when using high sales pressure and sales pitch 1. Interpret this interval.

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Sales Pitch Sales Pressure 32 29 30 28 25 23 32 30 28 25 24 23 ANOVA: Two-Factor With Replication SUMMARY Pitch 1 Pitch 2 Total High Pressure Count Sum Average Variance 91 30.3333 2.3333 181 30 30.1667 4 2.5667 90 Low Pressure Count Sum Average Variance 76 25.3333 6.3333 148 24 24.6667 13.4667 72 Total Count Sum Average Variance 167 27.8333 10.9667 162 27 12.8 ANOVA Source of Variation SS df Pressure Pitch Interaction Within Total MS F crit 5610 0.0009 5.3177 F P-value 1 90.75 26. 90.75 2.0833 0.75 27.3333 120.917 1 2.0833 0.6098 0.4574 5.3177 0.75 0.2195 0.6519 5.3177 8 3.4167 11