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SCHULICH SCHOOL OF BUSINESS YORK UNIVERSITY SESSION: FALL 2006 Final Examination NAME: COURSE NO: OMIS1000 / OMIS2000 I.D. # : COURSE TITLE: Statistics for Management Decisions PROFESSORS: H. Cohen, O. Kaminer, A. Marshall, D. Nevo, S. Nevo NUMBER OF PAGES : 11 pages (NOT including this cover page) LENGTH OF EXAMINATION: 180 minutes (3 hours) EXAMINATION AIDS ALLOWED: Calculator; formula sheet supplied with text INSTRUCTIONS: ¾ Please place your I.D. card on your desk. ¾ Count the pages to be certain that there are no pages missing. ¾ Write all and only your final answers in the space provided. We will not mark answers given elsewhere. ¾ You are not allowed to use your own paper for rough work. You may only use the spaces on the exam. ¾ Round all final answers to 4 decimal place. ¾ You may assume that all populations described in this test are normally distributed. ¾ If alpha is not given in the question use 0.05 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 this course and possible suspension from the University. Do not remove the staple from the exam. Do not write in the mark summary table below. Part I – Problem Recognition 24 marks Part II – True/False 17 marks Part III – Output Interpretation 12 marks Part IV – Problems Question 1 6 marks Question 2 12 marks Question 3 10 marks Question 4 9 marks Question 5 10 marks Sub-total 47 marks TOTAL 100 marks
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OMIS1000 / OMIS2000 Statistics Fall 2006 Final Examination Page 1 of 11 Part I - Problem Recognition (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. You are not required to conduct the test, just choose the most suitable test from the following options: z test; t test; χ 2 test; F test, ANOVA. Notes : (1) Be specific in your answers: specify the type of ANOVA required (one-way, randomized block, or two-way), or whether you use the t-test for equal variances or not; (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 ; (3) Write all relevant hypotheses for each of the questions. 1. A ski company in Whistler owns two ski shops, one near Whistler and one near Blackcomb. The following data were collected from both stores: Whistler shop Blackcomb shop Mean sales $328 $435 Sample std. Dev. $104 $151 Sample size 35 days 30 days The company would like to test for a difference in daily average goggle sales between the two stores Hypotheses (H 0 and H A ): Test: 2. The state lottery office claims that the average household income of those people playing the lottery is greater than $37,000. They also know that the distribution of these households’ income is normal with a standard deviation of $5,756. To test their claim a sample of 25 households was
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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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