Instructions: Select the best XLSTAT printout to answer each question. Required conditions have been met for each question. A significance level of @ = 0.05 is used for each hypothesis test and a confidence level of 95% is used for each confidence interval estimate. Your solution should be this document with all the blanks filled in. Write all hypotheses using mathematical notation. 1. Arandom sample of people who work regular 9-5 hours and a random sample of people who work shifts were asked how many hours of sleep they get per day on average. An appropriate F-test was performed and it was found that the null hypothesis of the F-test should be rejected. Can we infer that there is a difference in the number of hours people sleep depending on whether they work 9-5 or shifts? Printout # H,: H;: p-value: Conclusion: Do notreject H, Reject H, 2. Two industrial printers were each made to print the same 12 documents and the number of printing errors was recorded for each run. Can we infer that one printer makes more errors than the other? Printout # H0: H]_: p-value: Conclusion: Do not reject H, Reject H, A random sample of a city was polled about who they supported in the upcoming election for mayor: Candidate A or Candidate B. Estimate the difference between the level of support for Candidate A and Candidate B. Printout # LCL: UCL: A grocery store wants to know whether two banana suppliers differ in the average number of rotten bananas per case. Test to see whether an equal variance test or an unequal variance test should be run. Printout # HoZ H1: p-value: Conclusion: Do notreject H, Reject H, A random sample of Canadians from B.C., Alberta, Saskatchewan and Manitoba were asked how much they spend on organic vegetables per week. Can we infer that differences exist in the amount of money people from each of the four provinces spend on organic vegetables per week? Printout # H,: H;: p-value: Conclusion: Do not reject H, Reject H, A large law firm employs lawyers of 5 different specialties. The firm wanted to determine whether the number of billable hours per month is different for each type of lawyer. To do so, they recorded the number of billable hours per month for a sample of lawyers in the firm, making sure to include lawyers of each specialty in the sample. Data was collected for a number of months. The firm thought that the number of years in practice would have an effect on billable hours, so the lawyers were blocked by number of years in practice. a) Can we infer that there are differences in the number of billable hours per month depending on the specialty of the lawyer? Printout # Hy,: H: p-value: Conclusion: Do not reject Hy Reject Hy b) Was blocking by number of years in practice appropriate for this study? Why or why not? Analysis of variance (Amount): Source DF Sum of squares Mean squares F Pr > F a Model 3 3462.363 1 154.121 13.555 F Q1 11.250 11.250 1.115 0.294 Q2 w w - 135.850 45.283 4.490 0.006 Q1*Q2 6.250 2.083 0.207 0.892t-test for two independent samples / Two-tailed test: Difference 0.733 t (Observed value) 3.322 e It| (Critical value) 2.074 DF 22 p-value (Two-tailed) 0.003 alpha 0.05 z-test for two proportions / Two-tailed test: ch 95% confidence interval on the difference between the proportions: (-0.025 , 0.105 ) Type I Sum of Squares analysis (Var1): Source DF Sum of squares Mean squares F Pr > F Q1 4 616.421 154. 105 4.714 0.002 22 19 3574.166 188.114 5.754