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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

This quiz evaluates the students understanding of the measures of central tendency seen in statistics. This quiz is specifically designed to incorporate the measures of central tendency as they relate to psychological research.

##### Measures of Central Tendency

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