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To test whether there is a significant difference in the mean weekly earnings between males and females (i.e., whether gender affects mean earnings), you regress weekly earnings on a constant and a binary variable, which takes on a value of 1 for females and is 0 otherwise. The results were (standard errors are in the parentheses): 7. 2 Ear 610.5 160.2Female, n 5000, R2 0.086 (9.4) (12.6) (a) Will you do a t or an F test? What is your conclusion? (b) Are these results evidence enough to argue that there is discrimination against females? Why or why not?

To test whether there is a significant difference in the mean weekly earnings between males and females (i.e., whether gender affects mean earnings), you regress weekly earnings on a constant and a binary variable, which takes on a value of 1 for females and is 0 otherwise. The results were (standard errors are in the parentheses): 7. 2 Ear 610.5 160.2Female, n 5000, R2 0.086 (9.4) (12.6) (a) Will you do a t or an F test? What is your conclusion? (b) Are these results evidence enough to argue that there is discrimination against females? Why or why not?

MATLAB: An Introduction with Applications
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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To test whether there is a significant difference in the mean weekly earnings between males and females (i.e., whether gender affects mean earnings), you regress weekly earnings on a constant and a binary variable, which takes on a value of 1 for females and is 0 otherwise. The results were (standard errors are in the parentheses): 7. 2 Ear 610.5 160.2Female, n 5000, R2 0.086 (9.4) (12.6) (a) Will you do a t or an F test? What is your conclusion? (b) Are these results evidence enough to argue that there is discrimination against females? Why or why not?
Transcribed Image Text:To test whether there is a significant difference in the mean weekly earnings between males and females (i.e., whether gender affects mean earnings), you regress weekly earnings on a constant and a binary variable, which takes on a value of 1 for females and is 0 otherwise. The results were (standard errors are in the parentheses): 7. 2 Ear 610.5 160.2Female, n 5000, R2 0.086 (9.4) (12.6) (a) Will you do a t or an F test? What is your conclusion? (b) Are these results evidence enough to argue that there is discrimination against females? Why or why not?
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