Mahatma Gandhi University (MGU) 2005 M.B.A Business Administration Research Methodology - Question Paper

M.B.A. DEGREE EXAMINATION, MAY/JUNE 2005

Faculty of Management Studies

Semester II – Paper VII – RESEARCH METHODOLOGY

Time : 3 Hours

(60 Marks for 2004 admissions)
(75 Marks for 2003 admissions)
(100 Marks for Prior to 2003 admissions)

part A

ans any 5 ques..
every ques. carries 3/4/5 marks.

Write short notes on:
1. Objectives of Research.
2. Latin Square Design.
3. Scalogram Analysis.
4. Holtzman Inkbolt Test.
5. Central Limit Theorem.
6. Factor Analysis.
7. Research Reports.
8. Cluster Sampling.
(5 X three = 15 marks)
(5 X four = 20 marks)
(5 X five = 25 marks)

part B

ans all ques..
every ques. carries 5/6/8 marks.

9. Explain the term “Experience Survey”. elaborate its utility in exploratory research studies?
Or
10. Distinguish ranging from Research Methodology and Research Methods.

11. What do you understand by “Research Design”. discuss “two group simple randomized design”.
Or
12. What are the different methods of Data Collection? discuss any 2 with suitable examples.

13. Differentiate Stratified Random Sampling and Systematic Random Sampling.
Or
14. A random sampling of 200 measurements from an infinite population gave a mean value of 50 and a standard deviation of 9. Determine 95% confidence interval for the mean value of the population.

15. What do you understand by “multivariate techniques”? elaborate the important characteristics of these techniques?
Or
16. Define “Multiple Regression”. discuss its uses with suitable examples.

17. What are the various steps in Report Writing? discuss its significance.
Or
18. Explain any 3 research applications with suitable examples.
(5 X five = 25 marks)
(5 X six = 30 marks)
(5 X eight = 40 marks)

part C (Compulsory)

19. (a) What is the significance of the concept of standard fault in sampling analysis?
(b) A simple random sample, from a population of 2000 items has been drawn. If we desire to estimate the percent defective within 1.5% of the actual value with 95% probability, how large a sample needs to be drawn.
(c) discuss the term “Statistical Estimation”, with suitable examples.
(20/25/35 marks)

Earning:   Approval pending.