1) A researcher was interested in comparing the salaries of female and male employees at a particular company. Simple random samples of 8 female employees and 15 male employees yielded the following weekly salaries (in dollars). Female Male 595 722 518 760 562 904 556 880 1150 904 520 1205 520 500 480 915 1250 970 743 750 605 660 1640 Determine a 98% confidence interval for the difference, μ₁ - μ2, between the mean weekly salaries of female employees and the mean weekly salaries of male employees at this particular company.Normal probability plots of weekly salaries of female and male indicate normal populations.

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Author:Amos Gilat
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1) A researcher was interested in comparing the salaries of female and male employees at a particular company.
Simple random samples of 8 female employees and 15 male employees yielded the following
weekly salaries (in dollars).
Female Male
595 722 518
760 562 904
556 880 1150
904 520 1205
520 500 480
915 1250 970
743 750 605
660 1640
Determine a 98% confidence interval for the difference, μ₁ - μ2, between the mean weekly salaries of female
employees and the mean weekly salaries of male employees at this particular company.Normal probability plots
of weekly salaries of female and male indicate normal populations.
Transcribed Image Text:1) A researcher was interested in comparing the salaries of female and male employees at a particular company. Simple random samples of 8 female employees and 15 male employees yielded the following weekly salaries (in dollars). Female Male 595 722 518 760 562 904 556 880 1150 904 520 1205 520 500 480 915 1250 970 743 750 605 660 1640 Determine a 98% confidence interval for the difference, μ₁ - μ2, between the mean weekly salaries of female employees and the mean weekly salaries of male employees at this particular company.Normal probability plots of weekly salaries of female and male indicate normal populations.
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