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Midterm2005

# Midterm2005 - SCHULICH SCHOOL OF BUSINESS YORK UNIVERSITY...

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SCHULICH SCHOOL OF BUSINESS YORK UNIVERSITY SESSION: FALL 2005 Mid-Term Exam NAME: COURSE NO: OMIS1000E.V2 I.D. # : COURSE TITLE: Statistics for Management SECTION: PROFESSOR: Olga Kaminer NUMBER OF PAGES : X pages (NOT including tables and cover page) LENGTH OF EXAMINATION: 80 minutes EXAMINATION AIDS ALLOWED: Calculator; Formula sheet 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 space provided or the back of the pages for rough work. Answer the Multiple Choice and True/False Questions on the bubble sheet supplied. Be sure to put your name and student number on the bubble sheet. In Part III, place your answers in the answer boxes, where supplied. 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 pages xx-xx. Do not begin this examination until you are instructed to do so. Do not write in the mark summary table below. Part I – Multiple Choice 30 marks Part II – True/False 20 marks Part III – Problems Question 1 15 marks Question 2 10 marks Question 3 10 marks Question 4 9 marks Question 5 6 marks Sub-total 50 marks TOTAL 100 marks

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OMIS1000 MIDTERM EXAMINATION PART I – MULTIPLE CHOICE QUESTIONS (30 MARKS, 2 marks each) Choose the best answer for each question and indicate your answer on the bubble sheet. There is no penalty for guessing 1) The width of a confidence interval estimate for a proportion will be a. narrower when the sample proportion is 0.50 than when the sample proportion is 0.20. b. wider for a sample size of 100 than for a sample size of 50. c. narrower for 90% confidence than for 95% confidence. d. narrower for 99% confidence than for 95% confidence.
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Midterm2005 - SCHULICH SCHOOL OF BUSINESS YORK UNIVERSITY...

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