BUS 308 Statistics for Managers Week 4 Assignment

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Week 4Confidence Intervals and Chi Square  (Chs 11 - 12)        
For questions 3 and 4 below, be sure to list the null and alternate hypothesis statements.  Use .05 for your significance level in making your decisions. 
For full credit, you need to also show the statistical outcomes - either the Excel test result or the calculations you performed.   
              
1Using our sample data, construct a 95% confidence interval for the population's mean salary for each gender.     
 Interpret the results.  How do they compare with the findings in the week 2 one sample t-test outcomes (Question 1)?  
  MeanSt error t value Low to High     
 Males            
 Females            
 <Reminder: standard error is the sample standard deviation divided by the square root of the sample size.>   
Interpretation:             
              
              
2Using our sample data, construct a 95% confidence interval for the mean salary difference between the genders in the population.    
  How does this compare to the findings in week 2, question 2?       
              
 DifferenceSt Err.T value  Low to High     
              
              
              
    Yes/No         
 Can the means be equal? Why?        
              
 How does this compare to the week 2, question 2 result (2 sampe t-test)?     
              
a.Why is using a two sample tool (t-test, confidence interval) a better choice than using 2 one-sample techniques when comparing two samples?
              
              
3We found last week that the degree  values within the population do not impact compa rates.      
  This does not mean that degrees are distributed evenly across the grades and genders.     
 Do males and females have athe same distribution of degrees by grade?      
 (Note: while technically the sample size might not be large enough to perform this test, ignore this limitation for this exercise.) 
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    BUS 308 Statistics for Managers Week 4 Assignment
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