Research Methodology
Part A
Attempt any Six
(6 * 5 = 30 Marks)
1. “Report writing is more an art that hinges upon practice and experience”. Discuss.
2. Write short notes on: (i) Cluster analysis; (ii) Multidimensional scaling (iii) Factor
Analysis
3. (a) Explain the meaning of analysis of variance. Describe briefly the technique of
analysis of variance for one-way and two-way classifications.
4. Distinguish between the following: (i) Simple hypothesis and composite
hypothesis;(ii) Null hypothesis and alternative hypothesis;(iii) One-tailed test and
two-tailed test;(iv) Type I error and Type II error;(v) Acceptance region and
rejection region
5. Explain the meaning and significance of the concept of “Standard Error’ in
sampling analysis. . Describe briefly the commonly used sampling distributions
6. Write a brief note on different types of analysis of data pointing out the
significance of each.
7. Describe some of the major projective techniques and evaluate their significance
as tools of scientific social research.
8. Distinguish between: (a) Restricted and unrestricted sampling; (b) Convenience
and purposive sampling; (c) Systematic and stratified sampling; (d) Cluster and
area sampling.
Part B
(20 Marks)
1. Based on the following information about impact of drugs on blood pressure, test
the hypothesis about the impact of drugs.
2. (a) 200 digits were chosen at random from a set of tables. The frequencies of the
digits were:
0 1
18 19
2
23
3
21
4
16
5
25
6
22
7
20
8
21
9
15
Calculate χ2
2 (b) A large corporation uses thousands of light bulbs every year. The brand that
has been used in the past has an average life of 1000 hours with a standard
deviation of 100 hours. A new brand is offered to the corporation at a price far
lower than one they are paying for the old brand. It is decided that they will switch
to the new brand unless it is proved with a level of significance of 5% that the new
brand has smaller average life than the old brand. A random sample of 100 new
brand bulbs is tested yielding an observed sample mean of 985 hours. Assuming
that the standard deviation of the new brand is the same as that of the old brand,
(a) what conclusion should be drawn and what decision should be made? (b) What
is the probability of accepting the new brand if it has the mean life of 950 hours?