DMBA301 RESEARCH METHODOLOGY

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SESSION FEBRUARY – MARCH 2024
PROGRAM MASTER OF BUSINESS ADMINISTRATION
(MBA)
SEMESTER III
COURSE CODE & NAME DMBA301 RESEARCH METHODOLOGY
CREDITS 04

Assignment Set – 1st
Questions

1. What do you understand by Research, explain its meaning and Further discuss
various types of research designs?
Ans: Research usually starts with a question or a problem. It is conducted to find solutions
through the application of those methods that are systematic and scientific. So we can say that
research is a systematic approach to find the solution to a problem.
Some of the proposed definitions of research are as follows:
• ‘Research is creative and systematic work used to increase the stock of knowledge in the
favour of mankind.’
Types of research
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2. Discuss various types of data. Further discuss methods of Primary data collection.
Ans:Primary data is data obtained for the first time and thus is unique. This information is
in the form of raw material. Also, data collected at the source is referred to as primary data. It
is obtained at the point of collection. It is derived directly from first-hand sources through
surveys, observations, and experimentation and has not been subjected to any processing or
manipulation. It is original and has been obtained for a specific reason directly from the
3. Describe the relevance of Questionnaire and further discuss and explain various types
of questions in it with their importance.
Ans:Relevance of Questionnaires
Questionnaires are a vital tool in primary data collection due to their efficiency, versatility,
and ability to gather large amounts of data from diverse populations. They are used in various
fields such as market research, social sciences, health care, and education.
The relevance of questionnaires includes:
Efficiency: Questionnaires allow researchers to collect data from a large number of
respondents quickly and at relatively low cost.
Standardization: By asking the same questions in the same way, questionnaires ensure that
Assignment Set – 2
Questions
4. Explain Editing. Discuss various types of editing.
Ans:Editing is the primary step in the data processing. Editing is the process of analyzing
data, collected in a survey, to identify errors and omissions and to see that they are corrected
and ready for tabulation.
After all the required data is collected, an editor edits it to ensure the data is as follows:
• Accurate as possible
• Consistent with other evidence
• Uniformly recorded or entered,
• Is complete as required
There are different types of editing.
These are:
A. Editing for Quality: In this type of editing, the editor checks for any preconceived ideas,
misconceptions, or biases. The editor ensures the given information is within limits and that
5. Research proposals and reports are an important component of research. Discuss and
further describe various components of research report.
Ans:Research proposals and reports are fundamental to the research process, serving as
blueprints and documentation for research projects. A research proposal outlines what the
researcher intends to study and how they plan to conduct the study, while a research report
provides a detailed account of the research conducted, including the findings and conclusions.
Components of a Research Proposal
Title Aconcise statement of the main topic and should capture the essence of the proposed
study.
Abstract A brief summary of the proposal, usually around 150-250 words, highlighting the
6. A random sample of 395 people in a country was surveyed to find out if gender is
independent of education level. Each person was asked to report the highest education
level they had obtained. The data that resulted from the survey is summarized in the
following table:
HIGH
SCHOOL
BACHELORS PH. D TOTAL
FEMALE 60 54 46 41 201
MALE 40 44 53 57 194
TOTA\L 100 98 99 98 395
Formulate the hypothesis and test that are gender and education level dependent at 5%
level of statistical significance?
Ans: To test whether gender and education level are independent at the 5% level of
significance, we can perform a Chi-Square Test of Independence.
Here is a step-by-step guide to conducting this test:
Hypotheses –
Null Hypothesis (\(H_0\))**: Gender and education level are independent. –
Alternative Hypothesis (\(H_a\))**: Gender and education level are not independent.
Data
The data collected from the survey is summarized in the following contingency table:

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