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BUS308 Week 3 Data Question

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Score;Week 3;ANOVA and Paired T-test;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.);You can use these columns to place grade Perf Ratings if desired.;A;B;C;D;E;Null Hypothesis;Alt. Hypothesis;Place B17 in Outcome range box.;F;Interpretation;What is the p-value;Is P-value < 0.05?;Do we REJ is Not reject the null?;If the null hypothesis was rejected, what or 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;If desired, place salaries per grade in these columns;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 effect size value;If the null hypothesis was rejected, what is the null hypothesis;(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.;Male;Female;BA;1.017;0.870;1.052;1.175;1.043;1.074;1.020;0.903;0.982;1.086;1.075;1.052;1.096;1.025;1.000;0.956;1.000;1.043;1.043;1.210;1.187;1.043;1.043;1.145;MA;1.157;0.979;1.134;1.149;1.043;1.134;1.000;1.122;0.903;1.052;1.140;1.087;1.050;1.161;1.096;1.000;1.041;1.043;1.119;1.043;1.000;0.956;1.129;1.149;Ho: Average compas by gender are equal;Ha: Average compas by gender are not equal;Ho: Average compas are equal for each degree;Ha: Average compas are not equal for each degree;Ho: Interaction is not significant;Ha: Interaction is significant;Perform analysis;Anova: Two-Factor With Replication;SUMMARYBA;MA;Total;Male;Count;Sum;Average;Variance;12;12;24;12.349;12.9;25.249;1.02908333;1.075 1.0520417;0.006686447 0.0065198 0.006866;Female;Count;Sum;Average;Variance;12;12;24;12.791;12.787;25.578;1.06591667 1.0655833 1.06575;0.006102447 0.0042128 0.0049334;Total;Count;Sum;Average;Variance;24;24;25.14;25.687;1.0475 1.0702917;0.00647035 0.0051561;ANOVA;Source of Variation;SS;df;MS;F;P-value;F crit;Sample;Columns;Interaction;Within;0.00225502;0.00623352;0.00641719;0.25873675;1 0.002255 0.3834821 0.538939 4.0617065 (This is the row variable or gender.);1 0.0062335 1.060054 0.3088296 4.0617065 (This is the column variable or Degree.);1 0.0064172 1.0912878 0.3018915 4.0617065;44 0.0058804;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 compas are equal for all degrees Ha: Average compas 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;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;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.;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 test.;What is the p-value;Is a 1-tail < order;What else needs to be checked on P-value in 0.05?;to reject the null?;Do we REJ or Not reject the null?;If the null hypothesis was rejected, what is the;effect size value: NA;Meaning of effect size measure: NA;Interpretation;5.;Using the results up thru this week, what are your conclusions about gender equal pay for equal work at this point?;Place data values in these columns;Salary

 

Paper#19479 | Written in 18-Jul-2015

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