Question;Week 4 Confidence Intervals and Chi Square (Chs 11 - 12) Let's look at some other factors that might influence pay. For question 3 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. 1 One question we might have is if the distribution of graduate and undergraduate degrees independent of the grade the employee? (Note: this is the same as asking if the degrees are distributed the same way.) Based on the analysis of our sample data (shown below), what is your answer? Ho: The populaton correlation between grade and degree is 0. Ha: The population correlation between grade and degree is > 0 Perform analysis;1. By using either the Excel Chi Square functions or calculating the results directly as the text shows, do we reject or not reject the null hypothesis? What does your conclusion mean?;2 Using our sample data, we can 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)?;3. Based on our sample data, can we conclude that males and females are distributed across grades in a similar pattern within the population? Ho: The populaton correlation between grade and degree is 0. Ha: The population correlation between grade and degree is > 0;4 Using our sample data, construct a 95% confidence interval for the population's mean service difference for each gender.Do they intersect or overlap? How do these results compare to the findings in week 2, question 2?;5 How do you interpret these results in light of our question about equal pay for equal work?
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