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Course Code : MS - 95
Course Title : Research Methodology for Management
Decisions
Assignment Code : MS-95/TMA/SEM - II /2015
Coverage :
All Blocks
Note: Attempt all the questions and submit
this assignment on or before 31st October, 2015 to the coordinator of your
study centre.
Q. 1. Discuss the various experimental
designs as powerful tools to study the cause and effect relationships amongst
variables in research.
Answer:Like descriptive research, this
form of research attempts to prove an idea put forward by an individual or
organization. However, it significantly differs on both its methods and its
purpose. Where descriptive research is broad in scope, attempting to better
define any opinion, attitude, or behaviour held by a particular group, causal
research will have only two objectives:
·
Understanding which variables are the cause, and
which variables are the effect. For example, let’s say a city council wanted to
reduce car accidents on their streets. They might find through preliminary
descriptive and exploratory research that both accidents and road rage have
been steadily increasing over the past 5 years. Instead of automatically
assuming that road rage is the cause of these
Q. 2. Explain Stratified Random Sampling.
Describe proportional allocation and optimum allocation with the help of an
example.
Answer: In statistical surveys, when
subpopulations within an overall population vary, it is advantageous to sample
each subpopulation (stratum) independently. Stratification is the process of
dividing members of the population into homogeneous subgroups before sampling.
The strata should be mutually exclusive: every element in the population must
be assigned to only one stratum. The strata should also be collectively
exhaustive: no population element can be excluded. Then simple random sampling
or systematic sampling is applied within each stratum. This often improves the
representativeness of the sample by reducing sampling error. It can produce a
weighted mean that has less variability than the arithmetic mean
Q. 3. A physical instructor claims that a
particular exercise when done continuously for 7 days, reduces body weight at
least by 3.5kg. Five overweight girls did the exercise for 7 days and their
body weights were found as under:
Girls
|
1
|
2
|
3
|
4
|
5
|
Weight before exercise
|
70
|
72
|
75
|
71
|
78
|
Weight after exercise
|
66
|
70
|
72
|
66
|
72
|
Answer:
Q. 4. Explain the different parts of a
typical research report. Also prepare a sample Index page of such report.
Answer:The six components of a research
report are as follows: An abstract,
introduction, methodology, results, discussion, and references.
The Abstract: The abstract is an
overview of the research study and is typically two to four paragraphs in
length. Think of it as an executive
summary that distills the key elements of the remaining sections into a few
sentences.
Introduction: The introduction provides
the key question that the researcher is attempting to answer and a review of
any literature that is relevant.
Q. 5. Write short notes on:
i) Dependent and Independent variable
Answer: Variables used in an experiment
or modelling can be divided into three types: "dependent variable",
"independent variable", or other. The "dependent variable"
represents the output or effect, or is tested to see if it is the effect. The
"independent variables" represent the inputs or causes, or are tested
to see if they are the cause. Other variables may also be observed for various
reasons.
ii) Copy Reading
Answer:Copyreading is much like the
work of a communication arts teacher correcting compositions, except that he
uses different symbols. A copy may be a news item, an editorial, a feature
story or any literary article. Duties of a copyreader:
1.
Straighten out ungrammatical construction.
2.
Shorten sentences and tighten paragraphs.
3.
See that the paper’s style requirements are strictly followed. Check names,
addresses, title, designations, identifications, figures, etc.
iii) Discriminant Analysis.
Answer:Discriminant analysis is a
statistical method that is used by researchers to help them understand the
relationship between a "dependent variable" and one or more
"independent variables." A dependent variable is the variable that a
researcher is trying to explain or predict from the values of the independent
variables. Discriminant analysis is similar to regression analysis and analysis
of variance (ANOVA). The principal difference between discriminant analysis and
the other two methods is with regard to the nature of the dependent variable.
Discriminant
analysis requires the
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students get fully solved assignments
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