Be sure to examine each page. You must show all work and all calculations for every problem. Any problems not showing all work and all calculations will receive zero points. Specify work, results and answers to four decimal places. Chapter 9 1. A recent study of 33 Jackson County, Missouri residents revealed that they had lived at their current address for a mean of 12.0 years, with a sample standard deviation of 2.34 years. a. What is the population mean? b. What is the best estimate of the population mean? c. What is the standard error of the mean? d. Develop an 80% confidence interval for the population mean. Chapter 10 2. Use the five-step hypothesis-testing procedure for this problem. The park manager at Fort Fisher State Park in North Carolina believes that the typical park visitor spends at least 60 minutes in the park during the summer months. A sample of 37 visitors during the summer months of 2011 revealed the mean in the park was 59.9 minutes with a standard deviation of 29.9 minutes. At the 0.10 significance level, is it reasonable to conclude that the mean time in the park is greater than 60 minutes? Chapter 11 3. Use the five-step hypothesis-testing procedure for this problem. Dial Soap Company developed a new soap for men and test marketed the product in two cities. The sample information is reported below. At the 0.05 significance level, can we conclude there is a difference in the proportion that liked the new soap in the two cities? City Erie, PA Tustin, CA Liked New Soap 59 240 Number Sampled 392 419 Chapter 12 4. The results of a one-way ANOVA are reported below. Source of variation Between groups Within groups Total SS df MS F 8.53 4 2.13 24.24 75 0.32 32.77 79 6.66 a. How many treatments are there in the study? b. What is the total sample size? c. What is the critical value of F? d. Write out the null hypothesis and the alternate hypothesis. e. What is your decision regarding the null hypothesis? f. Can we conclude any of the treatment means differ? Chapter 13 5. At the end of each calendar year, employees of the G. G. Green Manufacturing Company can purchase company stock. For a sample of employees, the Director of Human Resources investigated the relationship between the number of years of service with the company and the number of shares of company stock owned. The \"number of years of service\" is used to estimate the \"number of shares of stock\". Use the following output showing the results of the analysis to answer the questions. ANOVA Table Source SS Regression 303,464.4613 Residual 65,199.5334 Total 368,663.9947 df MS 1 303,464.4613 32 2,037.4854 33 F 148.94 Regression Output Variables Intercept Years Coefficients 82.3146 10.3617 Std. Error 6.0028 0.5508 T (df = 32) 13.7128 18.8130 a. How many employees were included in the study? b. Is \"number of shares of stock\" or \"number of years of service\" the dependent variable? c. Write out the regression equation. d. Is the relationship between the two variables direct or indirect? e. Determine the correlation coefficient. f. How many shares would you expect an employee of 10 years to own? g. For each additional years of service, how much does \"number of shares owned\" change? h. Can we conclude that as years of service increases, so do the number of shares of stock owned? Conduct an appropriate test of hypothesis on the slope of the regression line