Ms 08-2011
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This document contains an assignment for a quantitative analysis course. It includes 3 quantitative problems: 1) calculating mean, median and mode from production data; 2) determining probabilities of customer dissatisfaction factors and reasons for leaving; 3) finding the lowest income among the richest 250 people from a normal distribution. It also includes short notes on 4 topics: a) test of goodness of fit, b) critical region of a test, and c) exponential smoothing method.
Ms 08-2011
- 1. MS-08 Management Programme ASSIGNMENT FIRST SEMESTER 2011 MS-08: QUANTITATIVE ANALYSIS FOR MANAGERIAL APPLICATIONS School of Management Studies INDIRA GANDHI NATIONAL OPEN UNIVERSITY MAIDAN GARHI, NEW DELHI – 110 068
- 2. ASSIGNMENTS Course Code : MS 08 Course Title : Quantitative Analysis for Managerial Applications Assignment No. : 08/TMA-1/SEM-I/2011 Coverage : All Blocks Note: Assignments Solved by www.distpub.com 1. Calculate the mean, median and mode from the following data relating to production of a steel mill for 60 days Production (in tons per 21-22 23-24 25-26 27-28 29-30 day) Number of days 7 13 22 10 8 2. A restaurant is experiencing discontentment among its customers. It analyses that there are three factors responsible viz. food quality, service quality and interior décor. By conducting an analysis, it assesses the probabilities of discontentment with the three factors as 0.40, 0.35 and 0.25 respectively. By conducting a survey among the customers, it also evaluated the probabilities of a customer going away discontented on account of these factors as 0.6, 0.8 and 0.5, respectively. With this information, the restaurant wants to know that, if a customer is discontented, what are the probabilities that it is so due to food, service or interior décor? 3. The monthly incomes of a group of 10,000 persons were found to be normally distributed with mean equal to 15,000 and standard deviation equal to 1000. What is the lowest income among the richest 250 persons? 4. Write short notes on the following: a. Test of goodness of fit b. Critical Region of a test c. Exponential Smoothing Method