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SHUTTLE BUS 308 Week 4 Difficulty Set Week Four

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Problem Established Week Several. Let's take a look at some other factors that might effect pay. Complete the problems under and post your work within an Excel doc. Be sure to present all of your job and clearly label almost all calculations. Most statistical measurements will use automobile Salary Data set (in Appendix section). 1 . How can you interpret these results in mild of our fairness question? One question we may have as if the syndication of graduate student and undergrad degrees in addition to the grade the employee? (Note: this is actually the same as requesting if the levels are sent out the same way. ) Based on the analysis of our sample data (shown below), what is your solution? 2 . Employing our test data, we could construct a 95% assurance interval pertaining to the population's mean wage for each sexuality. Interpret the results. How do they compare with the findings in the week 2 1 sample t-test outcomes (Question 1)? three or more. Based on the sample data, can we consider that males and females are allocated across degrees in a comparable pattern within the population? 4. Using each of our sample info, construct a 95% self confidence interval to get the population's mean assistance difference for every gender. Perform they intersect or overlap? How do these types of results beat the studies in week 2, problem 2? 5. How do you understand these results in light of the question regarding equal pay for equal work?