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# Two-way analysis of variance (ANOVA)

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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... (Please see attached)

a Perform graphical analysis to check for interaction between sales pressure and sales pitch.

b Test for interaction by setting alpha = .05.

c Test for differences in the effects of the levels of sales pressure by setting alpha = .05. That is, test the significance of sales pressure effects with alpha = .05.

d Calculate and interpret a 95 percent individual confidence interval for muH. _ muL.

e Test for differences in the effects of the levels of sales pitch by setting alpha = .05. That is, test the significance of sales pitch effects with alpha = .05.

f Calculate and interpret a 95 percent individual confidence interval for mu.1 _ mu.2.

g Calculate a 95 percent (individual) confidence interval

##### Solution Summary

In this solution, we interpret the computer output from a two-way analysis of variance (ANOVA), and answer and questions (a) - (g) with explanations.

##### Measures of Central Tendency

Tests knowledge of the three main measures of central tendency, including some simple calculation questions.