BUS 308 Week 4 – Chi Square and CI for mean BUS 308 Week 4 – Chi Square and CI for mean 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? Save your time! Proper editing and formatting Free revision, title page, and bibliography Flexible prices and money-back guarantee ORDER NOW 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? Make sure you submit a unique essay Our writers will provide you with an essay sample written from scratch: any topic, any deadline, any instructions. 100% ORIGINAL ORDER NOW 5 How do you interpret these results in light of our question about equal pay for equal work?