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BUS 308 Week 3 Assignment Guide

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BUS 308 Week 3 Assignment Guide;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.) A B C D E F;Null Hypothesis;Alt. Hypothesis;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: A B C D E F;Place B55 in Outcome range box.;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;3 The table and analysis below demonstrate a 2-way ANOVA with replication. Please interpret the results.;BA MA Ho: Average compas by gender are equal;Male 1.017 1.157 Ha: Average compas by gender are not equal;0.870 0.979 Ho: Average compas are equal for each degree;1.052 1.134 Ho: Average compas are not equal for each degree;1.175 1.149 Ho: Interaction is not significant;1.043 1.043 Ha: Interaction is significant;1.074 1.134;1.020 1.000 Perform analysis;0.903 1.122;0.982 0.903 Anova: Two-Factor With Replication;1.086 1.052;1.075 1.140 SUMMARY BA MA Total;1.052 1.087 Male;Female 1.096 1.050 Count 12 12 24;1.025 1.161 Sum 12.349 12.9 25.249;1.000 1.096 Average 1.02908333 1.075 1.052042;0.956 1.000 Variance 0.00668645 0.00652 0.006866;1.000 1.041;1.043 1.043 Female;1.043 1.119 Count 12 12 24;1.210 1.043 Sum 12.791 12.787 25.578;1.187 1.000 Average 1.06591667 1.065583 1.06575;1.043 0.956 Variance 0.00610245 0.004213 0.004933;1.043 1.129;1.145 1.149 Total;Count 24 24;Sum 25.14 25.687;Average 1.0475 1.070292;Variance 0.00647035 0.005156;ANOVA;Source of Variation SS df MS F P-value F crit;Sample 0.00225502 1 0.002255 0.383482 0.538939 4.061706 (This is the row variable or gender.);Columns 0.00623352 1 0.006234 1.060054 0.30883 4.061706 (This is the column variable or Degree.);Interaction 0.00641719 1 0.006417 1.091288 0.301892 4.061706;Within 0.25873675 44 0.00588;Total 0.27364248 47;Interpretation;For Ho: Average compas by gender are equal Ha: Average compas by gender are not equal;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;For Ho: Average salaries are equal for all grades Ha: Average salaries are not equal for all grades;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;For: Ho: Interaction is not significant Ha: Interaction is significant;What is the p-value;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;What do these decisions mean in terms of our equal pay question;4 Many companies consider the grade midpoint to be the "market rate" - what is needed to hire a new employee. Midpoint Salary;Does the company, on average, pay its existing employees at or above the market rate?;Null Hypothesis;Alt. Hypothesis;Statistical test to use;Place the cursor in B160 for correl.;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: Since the effect size was not discussed in this chapter, we do not have a formula for it - it differs from the non-paired t.;Meaning of effect size measure: NA;Interpretation

 

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