Soft Copy: Yes

Q. Does exploratory research always lead to conclusive research? Give adequate examples
to explain your perspective?

Answer......

Q. What is a research hypothesis? Do all researches require hypotheses formulation?
Explain.

Answer. .....

Q. What should be the ideal structure of a research report? What are the elements of the
proposed structure?

Answer. .....

Q. A social organization claiming to be promoters of sex education sought the views of
parents from the three Indian states of Punjab, Bihar and Gujarat on introducing sex
education at the school level. The views of 80 parents selected at random from each of
the three states were found as under:

Punjab Bihar Gujarat

In favour 50 20 45

Against 30 60 35

Do the sample data provide enough evidence to support the view that the proportion of
parents in favour of introducing sex education in schools is the same in all the three
states? Use α = 0.01.

Answer. ....

Q. Write short notes on:

i) Footnotes

ii) Exploratory Research

iii) Use of factor analysis.

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 July - Dec ** 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.........