M.Com. DEGREE EXAMINATION, APRIL 2017.
Second Semester
Commerce
BUSINESS RESEARCH METHODS
(2016 onwards)
Time 3 Hours Maximum 75 Marks
Section A 3 15)
Answer all questions.
All questions carry equal marks.
1. Define Research, state the objectives of Research?
2. Distinguish between Null and Alternative Hypothesis.
3. State the essentials features of Sampling.
4. Write a short note on Mann Whitney test.
5. Elucidate the types of Questionnaire.
Section B 10 50)
Answer all questions, choosing either or
All questions carry equal marks.
6. "Research is much concerned with proper fact
finding, analysis and evaluation." Do you agree with
this statement? Give reasons in support of your
answer.
Or
Briefly describe the different steps involved in a
Research Process.
Sub. Code
611202
RW-007
2
Ws9
7. The following are the number of departmental
stores in 10 cities 35, 27, 24. 32, 42, 30, 34,
40, 29 and 38. If we want to select a sample of
15 stores using cities as clusters and selecting
within clusters proportional to size, how many
stores from each city should be chosen? (Use a
starting point of 4).
What sampling design might be used to
estimate the weight of a group of men and
women?
Or
Distinguish between Probability and Non-
Probability Sampling.
8. Enumerate the different methods of collecting data.
Explain its merits and demerits.
Or
Examine the merits and demerits of the observation
method in collecting data. Illustrate your answer
with suitable examples.
9. Annual incomes of 900 salesmen employed by Hi-Fi
Corporation are known to be approximately
normally distributed. If the Corporation wants to be
95% confident that the true mean of this year's
salesmen's income does not differ by more than
of the last year's mean income of Rs 12,000, what
sample size would be required assuming the
population standard deviation to be Rs 1500?
Or
How will you differentiate between Descriptive
Statistics and Inferential Statistics? Describe the
important statistical measures often used to
summarise the survey/research data.
RW-007
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Ws9
10. Explain the meaning of Analysis of Variance.
Describe briefly the technique of Analysis of
Variance for one-way and two-way
classifications.
State the basic assumptions of the Analysis of
Variance.
Or
The Theory predicts the proportion of beans; in the
four groups C and D should be In an
experiment among 1600 beans, the numbers in the
four groups were 882, 313, 287 and 118. Does the
experimental result support the theory? Apply
Chi-square test.
Section C 10 10)
Compulsory question.
11. Briefly describe the important Parametric Tests used in
context of testing Hypotheses. How such tests differ from
Non-Parametric Tests? Explain.
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