A. 0.0182*B. .05 < p < .10C. .025 < p < .05D. .01 < p < .025E. 0.0091B. The house on the east side is $13073 more than the one on the west side.C. The house on the east side is $7563 less than the one on the west side.D. The house on the east side is $7563 more than the one on the west side.E. There is no sales price difference between the areas.A. 16.421B. 9.07C. 10.996*D. 136.97E. 4.452A. The group of independent variables do not explain sales price.B. The group of independent variables explains sales price.*C. The group of dependent variables do not explain sales price.D. The independent variables have the same coefficients.E. Inconclusive since the group of variables appears to be homogeneous.COURSE: MSCI 3710 Print Name: Final Exam Signature: Version A S.S.#: Spring 2002 Seat Number: Note: Whenever question(s) are connected you may be asked to assume a result(given a value) from the previous question but this result may or may not be correct. This is to prevent you from losing points on a second question because you made a mistake on a previous question.Instructions: Please print your name, social security number, and seat number on this exam. Also, put your signature on this exam. On your scantron PRINT your name, your version, and your seat number. To better protect your privacy also print your name on the back side of your scantron. You have 105 minutes to complete this exam. The exam is open book, open notes, and open mind. You may use any type of calculator but please show all your work on the exam and mark all answers on the scantron. Many of the questions follow the format of those in Adventures in Business Statistics. The remaining questions are either based on the Excel assignment or use an Adventures-like approach with problems nearly identical to those assigned in the textbook.  When you have completed the exam, please insert your scantron into the exam booklet and turn them into your instructor. No cheating. Good luck and we wish you well on the exam.Use the information given in the paragraph below to answer the next four questions. (Kvanli Chapter 8)A quality engineer wants to verify that the thickness of metal strips produced in their rolling mills is 5 centimeters. The consistency of their thickness is very important to the companies purchasingthese strips, for down-stream processing. The engineer drew a sample of 60 strips, and obtained the average sample thickness as 4.995, and the sample standard deviation as 0.195. Test the appropriate hypothesis at the 5% significance level. 1. What is the calculated value of the test statistic?A. 0.053B. –0.1984*C. 2.36D. 1.0073E. – 1.072. At the 0.05 level of significance, where is the Reject Ho region?A. To the left of Z = -1.282 and to the right of Z = 1.282B. To the left of Z = -1.645 and to the right of Z = 1.645C. To the left of Z = -1.96 and to the right of Z = 1.96*D. To the left of t = -1.328 and to the right of t = 1.328E. To the right of Z = 1.6453. Assuming the calculated value of the test statistic is 1.00, what are the decision and conclusion of the test at the significance level of 0.05?A. Fail to reject the null hypothesis, conclude there is insufficient evidence that the thickness of the metal strips is not 5 centimeters.*B. Reject the null hypothesis, conclude there is overwhelming evidence that the thickness of the metal strips is 5 centimeters.C. Fail to reject the null hypothesis, conclude there is insufficient evidence that the thickness of the metal strips is 5 centimeters..D. Reject the null hypothesis, conclude there is insufficient evidence that the thickness of the metal strips is 5 centimeters..E. Inconclusive.4. If the computed value of the test statistic is 2.36, what is the p-value?A. 0.0182*B. .05 < p < .10 C. .025 < p < .05D. .01 < p < .025 E. 0.0091Use the information given in the following paragraph to answer the next four questions. (Kvanli Chapter 10)New York and San Francisco are the two US cities that have the highest percentage of theirresidents possessing passports. A travel agency conducted a survey to determine if there is a significant difference in the proportion of adults in these two cities that possess a current passport.A random sample of 250 adults from each city revealed that 100 and 85 adults from San Franciscoand New York, respectively, hold a current passport. What conclusion can the travel agency make? Use a 0.1 significance level.5. What are the null hypothesis and alternative hypothesis for this test?A. Ho: p1 = p2 Ha: p1 p2 *B. Ho: 1  2 Ha: 1 < 2 C. Ho: p1 p2 Ha: p1 = p2 D. Ho: p1 > p2 Ha: p1 < p2 E. Ho: 1 = 2 Ha: 1 2 6. What is the value of the calculated test statistic to test the proportion difference between the proportions of passports in the two cities?A. 1.236B. 1.39*C. 1.96D. 0.842E. -2.8427. The 90 percent confidence interval for true proportion difference (p1 - p2) is from, say, A to B. What is the value of B?A. .265B. .175C. -.081D. .132*E. -.3548. Assuming the 90% confidence interval for p1 - p2 is [-0.09 to 0.140], what are the decision and conclusion of the test at the significance level of 0.10?A. Fail to reject the null hypothesis, conclude there is sufficient evidence of proportion difference between the two cities.B. Reject the null hypothesis, conclude there is evidence of proportion difference between thetwo cities.C. Fail to reject the null hypothesis, conclude there is insufficient evidence of proportion difference between the two cities.*D. Reject the null hypothesis, conclude there is not evidence of proportion difference betweenthe two cities.E. Reject the null hypothesis, conclude there is insufficient evidence of proportion difference between the two cities.Use the following information to answer the next four questions. (Kvanli Chapter 11)The personnel manager of a large insurance company wishes to evaluate the leadership of supervisors, mid-level managers and upper-level managers. 10 subordinates are surveyed to give responses that result in a leadership measurement index for their management. Is there adifference, on the average of the leadership scores for the three groups. Leadership indices and ANOVA table are as follows:Supervisor Mid-Manager Upper-Manager25 30 3016 35 4817 18 2030 25 2035 30 3228 29 2829 30 3530 40 4827 29 3540 30 32ANOVA Source of