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DRIVE -
SUMMER
2014
PROGRAM/SEMESTER-
MBADS/
MBAFLEX/ MBAHCSN3/ MBAN2 –
SEM
3
SUBJECT
CODE & NAME- MB0050
RESEARCH
METHODOLOGY
Q1. How would you distinguish between a
management decision problem and a management research problem? Do all decision
problems require research? Explain and illustrate with examples.
(Differences-5 marks, Explanation-3
marks, Examples-2 marks) 10 marks
Answer.
Differences
Management
Decision Problem-
A problem that needs to make a decision about something. It relates with a problem that is faced by the management or
decision maker. It asks what the decision maker needs to do. The management
decision problem is action oriented. It is concerned with the possible actions
the decision maker can take. Hence a
Q2. How is research designs classified? What are
the distinguishing features of each? Differentiate by giving appropriate
examples.
(Meaning of Research
designs-2 marks, Classification and features-4 marks, Differences-2 marks, Examples-2
marks) 10 marks
Answer.
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Meaning of Research Design
Ask of defining the
research problem is the preparation of the research project, popularly known as
the “research design. A research design is a logical and systematic plan
prepared for directing a research study. It is the plan, structure and strategy
of investigation conceived so as to obtain answers to research questions. A
research design is the program that
Q3. Discuss with the help of examples the four
key levels of measurement. What mathematical operations/statistical techniques
are and are not permissible on data from each type of scale?
(Meaning of
Measurement scales-2 marks, Types of Measurement scales with examples-5 marks, Mathematical
operations/statistical techniques-3 marks) 10 marks
Answer.
Meaning of Measurement scales
Campbell defines
measurement scale as “the assignment of numbers to represent properties.”
Levels of Measurement
Measurement may be
classified into four different levels, based on the characteristics of order,
distance and origin.
Q4. Processing of data involves editing, coding,
classifying and tabulating. Explain each of these steps by taking an
appropriate example.
(Explanation-6 marks, Examples-4
marks) 10 marks
Answer.
STEPS:
Identifying
the data structures
In the data
preparation step, the data are prepared in a data format, which allows the
analyst to use modern analysis software such as SAS or SPSS.
Editing
the data
Editing is a process
of checking to detect and correct errors and omissions. Data editing happens at
two stages, one at the time of recording of the data and second at the time of
analysis of data. All editing and cleaning steps are
Q5. Distinguish between the following:
a. Null hypothesis and Alternative hypothesis
b. One tailed and two tailed tests
c. Type I and Type II error
d. One way and two way analysis of variance
e. Descriptive and inferential analysis of data
Differences (2 marks
each) 10 marks
Answer.
a. Null hypothesis and Alternative hypothesis
In the context of
statistical analysis, we often talk null and alternative hypothesis. If we are
to compare method A with method B about its superiority and if we proceed on
the assumption that both methods are equally good, then this assumption is
termed as null hypothesis. As against this, we may think that the method A is
superior, it is alternative hypothesis. Symbolically presented as:
Q6. a. What is Chi-square test of goodness of
fit? What precautions are necessary while applying this test? Point out its
role in business decision making.
b. Two research workers classified some people in income groups on the
basis of sampling studies. Their results are as follow:
Show
that the sampling technique of at least one research worker is defective.
(Meaning-1 marks, Precautions-2
marks, Role-2 marks, Formula/Solution/Interpretation to the problem-5 marks) 10
marks
Answer.
a.)
Chi-square
test of goodness of fit
The
test is applied when you have one categorical variable from a single
population. It is used to determine whether sample data are consistent with a
hypothesized distribution.
Precautions
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