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##### BUS 308 WEEK 4 ASSIGNMENT

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BUS 308 WEEK 4 ASSIGNMENT SOLUTION WORKSHEET;Week 4 Confidence 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.;1 Using 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)?;Mean St error t value Low to High;Males;Females;Interpretation;2 Using 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?;Difference St Err. T value Low to High;Can the means be equal?;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?;3 We found last week that the degrees compa 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.);What are the hypothesis statements;Note: You can either use the Excel Chi-related functions or do the calculations manually.;Data input tables - graduate degrees by gender and grade level;OBSERVED A B C D E F Total;M Grad;Fem Grad;Male Und;Female Und;Total;EXPECTED;M Grad;Fem Grad;Male Und;Female Und;Total;Interpretation;What is the value of the chi square statistic;What is the p-value associated with this value;Is the p-value <0.05?;Do you reject or not reject the null hypothesis;If you rejected the null, what is the Cramer's V correlation;What does this correlation mean?;What does this decision mean for our equal pay question;4 Based on our sample data, can we conclude that males and females are distributed across grades in a similar pattern;within the population?;What are the hypothesis statements;What is the value of the chi square statistic;What is the p-value associated with this value;Is the p-value <0.05?;Do you reject or not reject the null hypothesis;If you rejected the null, what is the Phi correlation;What does this correlation mean?;What does this decision mean for our equal pay question;5. How do you interpret these results in light of our question about equal pay for equal work?

Paper#19634 | Written in 18-Jul-2015

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