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Q. Discuss the various experimental designs as powerful tools to study the cause and effect relationships amongst variables in research.

Answer. Experimental research is conducted mostly in laboratories in the context of basic.....

Q. Explain Stratified Random Sampling. Describe proportional allocation and optimum allocation with the help of an example.

Answer. Stratified Random Sampling is a method of sampling that involves the division of a population into smaller .....

Q. A physical instructor claims that a particular exercise when done continuously for 7 days, reduces body weight at least by 3.5kg. Five overweight girls did the exercise for 7 days and their body weights were found as under:

Girls 1 2 3 4 5

Weight before exercise 70 72 75 71 78

Weight after exercise 66 70 72 66 72

Making use of the sign test, verify the claim at α = 0.05 that the exercise reduces weight by at least 3.5kg.

Answer. ....

Q. Explain the different parts of a typical research report. Also prepare a sample Index page of such report.

Answer. The major parts of a research report are as follows.....

5. Write short notes on:

i) Dependent and Independent variable

ii) Copy Reading

iii) Discriminant Analysis.

Answer. The dependent variable is the variable that is simply measured by the researcher. It is the variable that reflects the influence .......

This refers to the checking of every aspect of a piece of written work from the content......

The discriminant analysis is a useful tool for situations where the total sample is to be divided intotwo or more.....

## 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 2015 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.........