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SCHULICH SCHOOL OF BUSINESS YORK UNIVERSITY SESSION: FALL 2005 Final Examination NAME: COURSE NO: OMIS1000 3.0 I.D. # : COURSE TITLE: Statistics for Management Decisions PROFESSORS: A. Marshall, D. Nevo, O. Kaminer NUMBER OF PAGES : 18 pages (NOT including this cover page) LENGTH OF EXAMINATION: 180 minutes (3 hours) EXAMINATION AIDS ALLOWED: Calculator; formula sheet supplied with text INSTRUCTIONS: Please place your I.D. card on your desk. You are not allowed to leave the examination room until one hour after the start of the exam and you must sign the sign-in sheet before leaving. Your examination paper must be handed in before you leave. When you are finished please leave the exam room quietly. Cheating on an examination will result in an “F” grade in the course concerned and possible suspension from the University. All notes, briefcases, and books must be deposited at the front of the room. You are not allowed to use your own paper for rough work. You may only use the back of the pages for rough work. Answer all questions in the space provided. Count the pages to be certain that there are no pages missing. Do not remove the staple from the exam. You may remove the tables on page 12 Do not begin this examination until you are instructed to do so. Do not write in the mark summary table below. Part I – Problem Recognition 24 marks Part II – True/False 25 marks Part III – Output Interpretation 16 marks Part IV – Problems Question 1 5 marks Question 2 12 marks Question 3 6 marks Question 4 6 marks Question 5 6 marks Sub-total 35 marks TOTAL 100 marks
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OMIS1000 3.0 Statistics Fall 2005 Final Examination Page 1 of 18 Part I - Problem Recognition Multiple Choice (24 marks, 3 marks each) Instructions: For each of the scenarios below, write the null and alternative hypotheses and indicate the most appropriate statistical test. Choose from the following tests: z test; t test; χ 2 test; F test, ANOVA. Note : (1) Be specific in your answers: specify the type of ANOVA required, or whether you use the t-test for equal variances or not, etc.; (2) When writing hypotheses for two population tests use meaningful indexing (for example: if the question asks to compare Canada and the US, write μ c - μ u as opposed to μ 1 - μ 2 ). 1. The owner of a local nightclub has recently surveyed a random sample of 250 customers. She would now like to determine whether or not the mean age of her customers is over 30. If so, she plans to alter the entertainment to appeal to an older crowd. If not, no entertainment changes will be made. H 0 : H A : Test: 2. A filling machine at a local soft drinks company is calibrated to fill the cans at an average amount of 12 fluid ounces and a standard deviation of 0.5 ounces. The company wants to test whether the standard deviation of the amount filled by the machine is indeed 0.5 ounces.
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This note was uploaded on 09/25/2010 for the course OMIS OMIS 1000 taught by Professor Alexandershoumarov during the Fall '09 term at York University.

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