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Q. Distinguish between "primary data" and "secondary data" with the help of examples. Which one is easy to collect, why?
Answer. Primary data is information you collect yourself that is directly related to your research project, in this case, measures of customer satisfaction. While primary data collection is much more accurate because it relates specifically to the customer research you are conducting, it is also much more expensive......
Q. Discuss the importance of sampling frame. What are the possible errors resulting from a faulty sampling frame?
Q. A salesman paid 12 visits to his area sales manager and noted that he had to wait for 10,15,20,17,11,25,30,27,36,40,5 and 26 minutes, respectively, before being called in his office. The area sales manager claims that the salesmen wishing to meet him do not have to wait for more than 20 minutes before being called in. Using the sign test, verify at 0.05 level of significance the claim made by the area sales manager.
Q. What is factor analysis? Mention briefly the purpose & uses of factor analysis.
Answer.Factor analysis is a widely used multivariate technique in the field of business research. It has been observed that many new researchers are using this technique without understanding the prerequisites for using it. ......
5. Write short note on :
i) Information reports
ii) Research reports
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 91 Solved Assignments of July - Dec 2014 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.........