BUS 308 Week 3 Assignment Ashford latest Version

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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.        
                
1Last 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.) ABCDEF  
                
 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:          
                
                
2While 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:      ABCDEF  
                
                
 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:          
                
3The table and analysis below demonstrate a 2-way ANOVA with replication.  Please interpret the results.      
                
  BAMA Ho: Average compas by gender are equal       
 Male1.0171.157 Ha: Average compas by gender are not equal       
  0.8700.979 Ho: Average compas are equal for each degree      
  1.0521.134 Ho: Average compas are not equal for each degree      
  1.1751.149 Ho: Interaction is not significant        
  1.0431.043 Ha: Interaction is significant        
  1.0741.134            
  1.0201.000 Perform analysis:         
  0.9031.122            
  0.9820.903 Anova: Two-Factor With Replication        
  1.0861.052            
  1.0751.140 SUMMARYBAMATotal       
  1.0521.087 Male          
 Female1.0961.050 Count121224       
  1.0251.161 Sum12.34912.925.249       
  1.0001.096 Average1.029083331.0751.052042       
  0.9561.000 Variance0.006686450.006520.006866       
  1.0001.041            
  1.0431.043 Female          
  1.0431.119 Count121224       
  1.2101.043 Sum12.79112.78725.578       
  1.1871.000 Average1.065916671.0655831.06575       
  1.0430.956 Variance0.006102450.0042130.004933       
  1.0431.129            
  1.1451.149 Total          
     Count2424        
     Sum25.1425.687        
     Average1.04751.070292        
     Variance0.006470350.005156        
                
                
     ANOVA          
     Source of VariationSSdfMSFP-valueF crit    
     Sample0.0022550210.0022550.3834820.5389394.061706  (This is the row variable or gender.)
     Columns0.0062335210.0062341.0600540.308834.061706  (This is the column variable or Degree.)
     Interaction0.0064171910.0064171.0912880.3018924.061706    
     Within0.25873675440.00588       
                
     Total0.2736424847        
                
                
 Interpretation:              
For Ho: Average compas by gender are equalHa: 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 significantHa: 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:          
                
                
                
4Many companies consider the grade midpoint to be the "market rate" - what is needed to hire a new employee.  MidpointSalary 
 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:              
                
                
5.   Using the results up thru this week, what are your conclusions about gender equal pay for equal work at this point?     
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    BUS 308 Week 3 Assignment Ashford latest Version

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