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94 hours, while women had an average rang of 632.24 hours, indicating that on average, women worked fewer hours than men, in this sample.
4. Using a nonparametric test to see whether current salaries (variable salnow) for clerical employees differ for the four gender/race groups (variable sex/race). Compare your results from those from a parametric analysis. Summarize the conclusion.
A Kruskal-Wallis test was conducted to evaluate whether current salaries for clerical employees are equal between four groups: white males, minority males, white females and minority females. The results of the test indicate that the groups are significantly different from one another, X2 (3, 474) = 175.068, p = .000. The rank output indicates that white males had the highest average salary, followed by minority males, white females and finally minority females.
A one-way anova was conducted to examine the same question for the purpose...
The one-way anova yielded similar results, indicating that there are significant differences between the groups, F (3)= 54.405, p = .000. The one-way anova is capable of providing somewhat more detailed comparisons between the individual groups. The bonferroni post-hoc analyses indicate that the salaries of white males significantly differ from the other three groups. The average salary for minority males, however, is significantly differ only from that of white males and minority women, but not significantly different from that of white women. The average salary for white women is significantly different from the average salary of white men, but not significantly different from the average salaries of minority men or women. Finally, the average salary of minority women is significantly different from the average salary of men (minority and white) but not significantly different from the average salary of white women.
Overall, these analyses show that gender and race do appear to…
References
Norusis, M.J. (2008). Guide to Data Analysis. SPSS Statistics 17.0.
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