17. A researcher was interested in comparing the salaries of female and male employees at a particular company. Independent simple random samples of 8 female employees and 15 male employees yielded the following weekly salaries (in dollars). Femalel Male 722 518 495 760 562 904 880 1150 556 520 805 904 500 480 520 1250 970 1005 750 605 743 1640 660 Use a 0.05 significance level to test the claim that the mean salary of female employees is less than the mean salary of male employees. Use the traditional method of hypothesis testing. (Note: x1 = 8705.375, x2 = $817.067, s1 = $ 183.855, s2 = $330.146.) %3D %3D %3D %3D

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 30PPS
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17. A researcher was interested in comparing the salaries of female and male employees at a particular company.
Independent simple random samples of 8 female employees and 15 male employees yielded the following
weekly salaries (in dollars).
Femalel Male
722 518
495
760
562 904
880 1150
556
520 805
904
500 480
520
1250 970
1005
750 605
743
1640
660
Use a 0.05 significance level to test the claim that the mean salary of female employees is less than the mean
salary of male employees. Use the traditional method of hypothesis testing.
(Note: x1 = 8705.375, x2 = $817.067, s1 = $ 183.855, s2 = $330.146.)
%3D
%3D
%3D
%3D
Transcribed Image Text:17. A researcher was interested in comparing the salaries of female and male employees at a particular company. Independent simple random samples of 8 female employees and 15 male employees yielded the following weekly salaries (in dollars). Femalel Male 722 518 495 760 562 904 880 1150 556 520 805 904 500 480 520 1250 970 1005 750 605 743 1640 660 Use a 0.05 significance level to test the claim that the mean salary of female employees is less than the mean salary of male employees. Use the traditional method of hypothesis testing. (Note: x1 = 8705.375, x2 = $817.067, s1 = $ 183.855, s2 = $330.146.) %3D %3D %3D %3D
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