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UNIVERSITY OF NAIROBI SCHOOL OF BUSINESS DEPARTMENT OF MANAGEMENT SCIENCE DMS 501: BUSINESS QUANTITATIVE ANALYSIS JANUARY TO MAY 2013 SEMESTER PROBABILITY & STATISTICS ASSIGNMENT DUE DATE: 8TH APRIL 2013 ______________________________________________________________________ Question 1 In a study to analyse performance in a 2012 examination series the following scores in percentage were compiled for a sample of 100 candidates. 42,51,52,53,61,62,63,64,71,72,81,46,53,54,55,63,64,65,66,73,74,82,48,57,58,59,67,68, 69,77,78,87,43,54,56,64,65,66,67,74,75,84,47,52,53,54,62,63,64,65,72,73,82,45,56,57, 58,66,67,68,69,76,77,86,44,55,56,57,65,66,67,75,76,85,49,50,51,52,60,61,62,70,71,51, 52,53,61,62,63,71,72,58,59,57,68,69,67,78,79,80 a) Arrange the data in equal classes of size 10 starting from 40 percent. b) Using an ogive for the data, find: i) The approximate percentage of the candidates who passed the examination if the pass mark was 62.5 percent. ii) The pass mark if 90 percent of the candidate passed examination. c) Verify whether it would be appropriate to use the properties of normal probability distribution in analyzing the data (perform acid test of normality). Question 2 a) A game of chance entails tossing three coins. For each head that comes up, the player receives Ksh 1000 and loses Ksh 800 for any tail that comes up. To play the game, one pays Ksh 1500. Advise a player whether if is advisable to play the game. b) Win-Win Consult ltd. bids for 10 jobs, believing that its chances of getting each of the jobs is 0.1. i) What is the probability that it gets at least two of the jobs? ii) What is the expected value of the number of jobs it will get? iii) What is the standard deviation of the number of jobs it will get? c) The number of patients entering the intensive care unit of Great Care Hospital (GCH) on any one day has a Poisson probability distribution with a mean equal to 5 patient per day. What is the probability that the number of patient entering the intensive care unit on a particular day is greater that two. d) Sweet Unga Ltd. packs wheat flour in packets whose weights are normally distributed with mean equal to 5kg and standard deviation equal to 0.2 kg. The company classifies its packets as “under weight” when its weight falls below 4.7 kg; ”over weight” when above 5.1 kg; otherwise it is classified as “normal weight”. The customers are charged Ksh 1700, 2000 and 2100 for the various packets respectively. A customer is supplied with consignment of 1000 packets of the wheat flour. How much would the customer be expected to pay to the company? e) A study was conducted to determine student, faculty, and administration attitudes on a new University parking policy. The distribution of those favouring or opposing the policy is shown in the following table: Student Faculty Administration Favour 252 107 43 Oppose 139 81 40 Do the data provide sufficient evidence to indicate that attitudes regarding the parking policy do not depend on the category of the respondent? Question 3 For the grouped data in Question 1: a) Find an interval estimate of the actual average performance in the examination. b) Suppose the expected average performance in the examination was 72 percent, would we be right to say that this group of candidates performed below the average? c) A sample of 50 scores were obtained from 2011 series of a similar examination. The sample gave a mean score of 66.7 percent with a standard deviation of 3 percent. Would we be right to conclude that there was no difference in performance between 2011 and 2012 series of the examination? Question 4 Mr. Bookman, a new fiction author, wishes to know whether there is any relationship between a book’s length and the price charged for the book. He chooses a random sample of 10 novels and records the length and price of each as follows: Length (pages) 520 680 740 200 400 800 750 Price (Ksh 00) 16 20 21 9 10 22 20 500 300 350 15 10 10 a) Is there a significant relationship between novel length and its price? (use test for significance of correlation) b) Develop a regression model for predicting the price of a novel using its length. c) Test the significance of the model using t-test, R2 and F-test.