1. Which of the following is consistent with the alternative hypothesis for the interaction of factors A and B in a two-factor analysis of variance? a. The mean differences between treatment conditions are what would be predicted from the overall main effects of Factors A and B. b. µA = µB c. µA ≠ µB d. The mean differences between treatment conditions are not what would be predicted from the overall main effects of Factors A and B. 2. A researcher uncovers that there is a significant interaction between the factor of marital status (i.e., married or non-married) and participant sex (i.e., male or female) regarding well-being among a sample with n = 6 participants in each condition. A researcher decides to compare the difference in well-being between married men and women. The MSwithin treatments from the original two-factor analysis is MSwithin treatments = 1.00. using the matrix below to test this simple main effect, which is the appropriate decision using an alpha level of α = .05? Participant Sex Males Females __________________________________________________________________ n = 6 n = 6 N = 12 M = 4 M = 5 G = 54 T = 24 T = 30 a. Fail to reject the null hypothesis and conclude there is not a significant difference in well-being between males and females who are not married. b. Fail to reject the null hypothesis and conclude there is not a significant difference in well-being between males and females who are married. c. Reject the null hypothesis and conclude there is a significant difference in well-being between males and females who are not married. d. Reject the null hypothesis and conclude there is a significant difference in well-being between males and females who are married.

1. Which of the following is consistent with the alternative hypothesis for the interaction of factors A and B in a two-factor analysis of variance? a. The mean differences between treatment conditions are what would be predicted from the overall main effects of Factors A and B. b. µA = µB c. µA ≠ µB d. The mean differences between treatment conditions are not what would be predicted from the overall main effects of Factors A and B. 2. A researcher uncovers that there is a significant interaction between the factor of marital status (i.e., married or non-married) and participant sex (i.e., male or female) regarding well-being among a sample with n = 6 participants in each condition. A researcher decides to compare the difference in well-being between married men and women. The MSwithin treatments from the original two-factor analysis is MSwithin treatments = 1.00. using the matrix below to test this simple main effect, which is the appropriate decision using an alpha level of α = .05? Participant Sex Males Females __________________________________________________________________ n = 6 n = 6 N = 12 M = 4 M = 5 G = 54 T = 24 T = 30 a. Fail to reject the null hypothesis and conclude there is not a significant difference in well-being between males and females who are not married. b. Fail to reject the null hypothesis and conclude there is not a significant difference in well-being between males and females who are married. c. Reject the null hypothesis and conclude there is a significant difference in well-being between males and females who are not married. d. Reject the null hypothesis and conclude there is a significant difference in well-being between males and females who are married.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question

1. Which of the following is consistent with the alternative hypothesis for the interaction of factors A and B in a two-factor analysis of variance?

	a.	The mean differences between treatment conditions are what would be predicted from the overall main effects of Factors A and B.
	b.	µ_A = µ_B
	c.	µ_A ≠ µ_B
	d.	The mean differences between treatment conditions are not what would be predicted from the overall main effects of Factors A and B.

2. A researcher uncovers that there is a significant interaction between the factor of marital status (i.e., married or non-married) and participant sex (i.e., male or female) regarding well-being among a sample with n = 6 participants in each condition. A researcher decides to compare the difference in well-being between married men and women. The MS_{within treatments} from the original two-factor analysis is MS_{within treatments} = 1.00. using the matrix below to test this simple main effect, which is the appropriate decision using an alpha level of α = .05?

Participant Sex

Males Females

__________________________________________________________________

n = 6 n = 6 N = 12

M = 4 M = 5 G = 54

T = 24 T = 30

	a.	Fail to reject the null hypothesis and conclude there is not a significant difference in well-being between males and females who are not married.
	b.	Fail to reject the null hypothesis and conclude there is not a significant difference in well-being between males and females who are married.
	c.	Reject the null hypothesis and conclude there is a significant difference in well-being between males and females who are not married.
	d.	Reject the null hypothesis and conclude there is a significant difference in well-being between males and females who are married.

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