Road rules0 min ago
Statistics
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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 10.14 are obtained by using a completely randomized design, and Figure 10.13 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 a _ .05.
c Test for differences in the effects of the levels of sales pressure by setting a _ .05. That is, test the significance of sales pressure effects with a _ .05.
d Calculate and interpret a 95 percent individual confidence interval for mH. _ mL.
e Test for differences in the effects of the levels of sales pitch by setting a _ .05. That is, test the significance of sales pitch effects with a _ .05.
f Calculate and interpret a 95 percent individual confidence interval for m.1 _ m.2.
g Calculate a 95 percent (individual) confidence interval for mean sales when using high sales pressure and sales pitch 1. Interpret this interval.
a Perform graphical analysis to check for interaction between sales pressure and sales pitch.
b Test for interaction by setting a _ .05.
c Test for differences in the effects of the levels of sales pressure by setting a _ .05. That is, test the significance of sales pressure effects with a _ .05.
d Calculate and interpret a 95 percent individual confidence interval for mH. _ mL.
e Test for differences in the effects of the levels of sales pitch by setting a _ .05. That is, test the significance of sales pitch effects with a _ .05.
f Calculate and interpret a 95 percent individual confidence interval for m.1 _ m.2.
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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