M.B.A. DEGREE EXAMINATION, NOVEMBER 2017
Business Analytics
RESEARCH METHODOLOGY
(2016 onwards)
Time 3 Hours Maximum 75 Marks
Part A (10 x 2 20)
Answer all questions.
1. What is SPSS?
2. What is variable view?
3. Write a short note on Non-comparative scaling
technique?
4. What do you mean by Likert scales?
5. Write a short note on questionnaire.
6. What is mean plot?
7. Define Type I error.
8. What do mean by one sample T-test.
9. Write a short note on goodness of fit.
10. Define residual analysis.
Sub. Code
16
CP-8248
2
sp5
Part B x 5 25)
Answer all questions.
11. Discuss the basic operations in SPSS.
Or
Discuss the need of SPSS in decision making.
12. Explain the various types of research.
Or
List the various qualities of a good questionnaire.
13. Explain the different types of scales.
Or
Write about continuous data and categorical data.
14. Distinguish between Parametric and Nonparametric
test.
Or
Discuss the characteristics of hypothesis.
15. Write assumptions of linear regression in detail.
Or
Write about standard error of estimate.
CP-8248
3
sp5
Part C x 10 30)
Answer all questions.
16. Explain the meaning of hypothesis and basic
concepts in the context of making intelligent
decisions.
Or
Explain the need of ANOVA in decision making.
17. Describe the various multivariate procedures
available to analyze associative data in the context
of any research problem.
Or
Explain the steps involved in designing a good
questionnaire
18. Write about normalcy tests in detail.
Or
Explain the advantages and disadvantages of
Non-parametric test.
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