Essentials of Statistics for the Behavioral Sciences
Essentials of Statistics for the Behavioral Sciences
8th Edition
ISBN: 9781133956570
Author: Frederick J Gravetter, Larry B. Wallnau
Publisher: Cengage Learning
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Chapter 13.3, Problem 1LC

a.

To determine

To find: Which means are compared to evaluate the main effect for factor A.

b.

To determine

To find: Which means are compared to evaluate the main effect for factor B.

c.

To determine

To find: Is there an interaction between the two factor.

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The following matrix presents the results from an independent-measures, two-factor study with a sample of n = 10 participants in each treatment condition. Note that one treatment mean is missing.     B1 B2 A1 5 8 A2 3   A) What value for the missing mean would result in no main effect for factor A? B) What value for the missing mean would result in no main effect for factor B? C) What value for the missing mean would result in no interaction?
The following matrix presents the results of a two- factor study with n = 10 scores in each of the six treatment conditions. Note that one of the treatment means is missing   B1 B2 B3 A1 4 6 14 A2 2 4   A) What value for the missing mean would result in no main effect for factor A? B) What value for the missing mean would result in no interaction?
1. For the data in the following matrix:            No Treatment       Treatment Male      M=8                    M=14            Overall M=11Female   M=4                   M=10           Overall M=7        Overall M=6      Overall M=12 a. Which two means are compared to describe the treatment main effect?   b. Which two means are compared to describe the gender main effect?   c. Is there an interaction between gender and treatment? Explain your answer.

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Essentials of Statistics for the Behavioral Sciences

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