Soft Copy: Yes

Downloadable File: Yes

University: IGNOU

Course: Master of Business Administration

**Q&A of MS-95 Solved Assignment 2018 - Research Methodology for Management Decisions**

Q. How would you distinguish between a management decision problem and a management
research problem? Do all decision problems require research? Explain and illustrate with
examples.

Answer......

Q. 'Majority of the researches make use of primary sources of data and secondary data sources do
not really contribute to a scientific enquiry.' Do you agree/ disagree with this statement. Explain.

Answer......

Q. Explain an itemized rating scale. What are the various issues involved in constructing an
itemized rating scale?

Answer......

Q.A researcher conducts a survey to find out whether the inhabitants of a metro town are in favour
of capital punishment (F) or against it (A). The sequence of responses to the question asked is
given below. Use the run test at α = 0.05 to test whether the responses are random.

F F A F F F A A A A A F F A

A A F F A A A A A A F F A A

A A A A F F F A A A F A F F

F F A A A A F F F A A A F F

Answer......

Q. 5. Explain the following concepts.

(a) Null and alternative hypothesis

(b) One and two-tailed test

(c) Type I and type II error

(d) Level of significance

(e) Power of test

Answer......

## Product Details: Mba MS-95 Solved Assignment 2018

Course: IGNOU MBA (Master of Business Administration)

Session: July - Dec 2018

Subject: Research Methodology for Management Decisions

### Ignou Mba MS-95 Assignments - Old Sample Answers

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.........