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MS-95 Solved Assignment Research Methodology for Management Decisions

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  • Version: 2015 July - Dec

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Q. Explain the concept of Research Design. Describe some important research design for research study.
Answer. The research design refers to the overall strategy that you choose to integrate the different components...... A research design will typically include how data is to be collected, what.....

Q. Examine the merits & limitations of the observation method for collecting data. Illustrate your answer with suitable examples.
Answer. Observation is way of gathering data by watching behavior, events, or noting physical characteristics in their natural .......... The main strength of observation is that it provides direct access to the social.....

Q. What is the meaning of measurement in research? What difference does it make whether we measure in terms of a nominal, ordinal, interval or ratio scale?
Answer. Measurement is at the core of doing research......... In interval measurement the distance between attributes does have meaning....

Q. Assume a research topic of your choice and give the complete format of its research report.
Answer. The report format is standard in style although the...... Reports typically have the following sections.... Front matter (This may include a Table of Contents, List of Figures, Abbreviations, etc.....

5. A chain of departmental stores opened three stores in Mumbai. The management wants to compare the sales of the three stores over a six day long promotional period. The relevant data is given below.

Store ‘A’ Sales

Store ‘B’ Sales

Store ‘C’ Sales



















Answer. .......

MS-95 Solved Assignment IGNOU MBA

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Old Sample Answer

Q. What is a. Regression Analysis?
Answer. Time series analysis is the term used to describe a set of statistical tools that are useful for identifying patterns of demand that repeat periodically—in other words, patterns that are driven by time. The other most widely used tool for demand forecasting is regression analysis. This statistical tool is useful when the analyst has reason to believe that some measurable factor other than time is affecting demand. Regression analysis begins with the identification of two categories of variables: dependent variables and independent variables....... Regression models are built using a data set of historical values. They are used to evaluate the relationship between independent and dependent variables in an existing data set and produce a mathematical framework that can be extrapolated to values of the independent variables not present in the data set..................... A diverse range of regression models exists, and the appropriate model to employ for a given task depends on the nature of the dependent variable being predicted. In some cases, an explicit value must be predicted—say, the total amount of revenue a new user will spend over the user’s lifetime.............. In other cases, the value predicted by the regression model is not numeric but categorical; following from the example above, if, instead of the total revenue a new user will spend over the user’s lifetime, a model was constructed to predict whether or not the user would ever contribute revenue, the model would be predicting for a categorical (in this case, binary) variable: revenue or no revenue............. Imagine you are a consultant working in a purchasing department whose input into business decision-making process is welcomed within the firm. The Purchasing Manager believes that by working more closely with suppliers, subsequent delivery performance will improve. His idea of working more closely means visiting suppliers on a regular basis to discuss business issues.........

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