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##### BUS 308 Week 3 assignment

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Week 3;At this point we know the following about male and female salaries.;a. Male and female overall average salaries are not equal in the population.;b. Male and female overall average compas are equal in the population, but males are a bit more spread out.;c. The male and female salary range are almost the same, as is their age and service.;d. Average performance ratings per gender are equal.;Let's look at some other factors that might influence pay - education(degree) and performance ratings.;1 Last week, we found that average performance ratings do not differ between males and females in the population.;Now we need to see if they differ among the grades. Is the average performace rating the same for all grades?;(Assume variances are equal across the grades for this ANOVA.);Null Hypothesis: there is no difference in grades among the males and females;Alt. Hypothesis: there is a difference in grades among the males and females;Place B17 in Outcome range box.;Interpretation;What is the p-value;Is P-value < 0.05?;Do we REJ or Not reject the null?;If the null hypothesis was rejected, what is the effect size value (eta squared);Meaning of effect size measure;What does that decision mean in terms of our equal pay question;2 While it appears that average salaries per each grade differ, we need to test this assumption.;Is the average salary the same for each of the grade levels? (Assume equal variance, and use the analysis toolpak function ANOVA.);Use the input table to the right to list salaries under each grade level.;Null Hypothesis;Alt. Hypothesis;What is the p-value;Is P-value < 0.05?;Do you reject or not reject the null hypothesis;If the null hypothesis was rejected, what is the effect size value (eta squared);Meaning of effect size measure;Interpretation

Paper#30504 | Written in 18-Jul-2015

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