M.Phil. DEGREE EXAMINATION, APRIL 2016
TECHNIQUES OF BUSINESS
RESEARCH/STATISTICAL TECHNIQUES OF
RESEARCH/TECHNIQUES OF RESEARCH
(Common for Commerce/Management/Bank
Management)
(2012 onwards)
Time 3 Hours Maximum 75 Marks
Section A 3 21)
Answer all questions.
All questions carry equal marks.
1. What are the properties of a good measure of central
tendency?
2. Distinguish between correlation and auto-correlation.
3. What purpose does testing for difference between means
serve?
4. What is the significance of Scheffe's test?
5. What is fit index?
6. What is canonical correlation?
7. What is a hypothesis?
Sub. Code
661102/
642102/
681102
RW-11115
2
Ws7
Section B 6 24)
Answer any four questions.
All questions carry equal marks.
8. Differentiate between qualitative and quantitative
research methods with suitable examples.
9. Find out the co-efficient of correlation from the following
data
X 65 66 67 67 68 69 71 73
Y 67 68 64 68 72 70 69 70
10. State the assumptions made in analysis of variance.
11. The details regarding the monthly sales performance two
salesmen A and B given below. Which salesman is more
consistent in sales performance and why? Sales
performance for 10 months.
Average in Lakh Rs. A B
S.D 12.2 16.4
1.7 3.8
12. Write down the applications of cluster analysis.
13. Explain the use of Auto-regressive Conditional
heteroscedasticity (ARCH).
Section C 10 20)
Answer all questions.
All questions carry equal marks.
14. What are the characteristics of mean, mode and
median? When and why each of these averages can
be used?
Or
RW-11115
3
Ws7
One thousand girls in a college were graded
according to their I.Q. and the economic conditions
of their homes. Use chi-square test to find out
whether there is any association between economic
condition at home and I.Q. of girls (Given
2 3.84
V 0.05
I.Q.
Economic conditions High Low Total
Rich 100 300 400
Poor 350 250 600
Total 450 550 1000
15. Explain clearly the concept of a factor analysis
suggesting a suitable example. What are its uses?
Or
Explain conjoint analysis with a suitable example.
State its uses.
Section D 10 10)
(Compulsory)
16. The following are the weight gains (in pounds) of two
random samples of young Turkeys fed two different diets
but otherwise kept under identical conditions.
Diet 16.3 10.1 10.7 13.5 14.9 11.8 14.3 10.2
Diet 21.3 23.8 15.4 19.6 12.0 13.9 18.8 19.2
Diet 12.0 14.7 23.6 15.1 14.5 18.4 13.2 14.0
Diet 15.3 20.1 14.8 18.9 20.7 21.1 15.8 16.2
Use the Mann-Whitney U test at the 0.01 level of
significance to test the null hypothesis that the two
populations sampled have identical distributions against
the alternative hypothesis that on the average the second
diet produces a greater gain in weight.