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BUS308 -3 WEEK
Complete Self-Assessments and Reflection Regarding Leadership
July 27, 2021wk8
July 27, 2021| 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 point> | 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 | 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: | |||||||||||||||
| <1 point> | 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: | If desired, place salaries per grade in these columns | ||||||||||||||
| 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: | |||||||||||||||
| <1 point> | 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 | Ha: 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 | |||||||||||||
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