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MS-95 Solved Assignment Research Methodology for Management Decisions

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  • Version: 2016 Jan - June


Soft Copy: Yes

Q. Explain briefly why data collection and data analysis should not be separated at the planning stage of any research project.
Answer......

Q. What do you understand by stratification of a population? Why is it said that stratified sampling improve precision?
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Q. Define Dichotomous data. Mention two reasons which make Guttman scale an impractical tool for the measurements of attitudes.
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Q. Two different varieties of mushroom were grown on 6 and 7 plots of the same size. At the end of the crop run, the following quantities of yield were observed for the two varieties:
Variety I 16 12 11 13 15 17
Variety II 11 11 10 15 14 16 10
Using the Mann-Whitney U test, verify at 0.05 level of significance whether the two varieties of mushroom produce the same yield.
Answer. ....

Q. Yours is a consulting organization which undertakes business research studies. A prospective client visits your organization and wants to know the types of job your organization undertakes. What sort of pre-presentation handouts would you prepare before making a presentation to him?
Answer......

MS-95 Solved Assignment IGNOU MBA

This page is dedicated to IGNOU Master of Business Administration (MBA) MS-95 Research Methodology for Management Decisions Solved Assignment. You can download IGNOU MBA MS 95 Solved Assignments of 2016 Jan - June here.

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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