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Summer-2013
Master of
Business Administration- MBA Semester 1
MB0050–Research
Methodology-4 Credits
(Book ID: B1700)
Assignment
(60 Marks)
Note: Answer
all questions (with 300 to 400 words each) must be written within 6-8 pages.
Each Question carries 10 marks 6 X 10=60
Q1. Explain the process of problem
identification with an example.
Answer. Problem identification' is actually
'seeing' the problem before trying to solve it. In other words, it is the first
strategy in solving a problem.
First, you have to realize and accept there IS a problem. Once you 'identify' the problem you can then observe and reflect what's going on, gather information that relates and begin working on solutions.
First, you have to realize and accept there IS a problem. Once you 'identify' the problem you can then observe and reflect what's going on, gather information that relates and begin working on solutions.
Q2. Interview method involves a
dialogue between the Interviewee and the Interviewer. Explain the interview
method of data collection. What are the uses of this technique? What are the
different types of interviews?
Answer.
Interview Method of Data Collection Interview
is verbal questioning. In research, Lindzey Gardner has defined interview as “a
two-person conversation, initiated by the interviewer for the specific purpose
of obtaining research-relevant information and focused by him on the content
specified by the research objectives of description and explanation”.
Characteristics of interview: Black and Champion have pointed out the following characteristics of an interview:
• Personal communication.
• Equal status: The status of the interviewer and the interviewee is equal.
• Instant response.
Characteristics of interview: Black and Champion have pointed out the following characteristics of an interview:
• Personal communication.
• Equal status: The status of the interviewer and the interviewee is equal.
• Instant response.
Q3. A study of different sampling
methods is necessary because precision, accuracy, and efficiency of the sample
results depend on the method employed for selecting the sample. Explain the
different types of Probability and Non-Probability sampling designs.
Answer. Probability
Sampling
A probability sampling method
is any method of sampling that utilizes some form of random selection. In order to have a random selection
method, you must set up some process or procedure that assures that the
different units in your population have equal probabilities of being chosen.
Q4. a. Differentiate between
descriptive and inferential analysis of data.
b. Explain with examples various
measures of Central Tendency.
Answer. A. Statistical procedures can be divided into two major categories: descriptive
statistics and inferential statistics.
Descriptive
Statistics
Descriptive statistics includes
statistical procedures that we use to describe the population we are studying.
The data could be collected from either a sample or a population, but the
results help us organize and describe data. Descriptive statistics can only be
used to describe the group that is being studying. That is, the results cannot
be generalized to any larger group.
Descriptive statistics are useful and
serviceable if you do not need to extend your results to any larger group.
3. Mode
The mode is
the most frequent score in our data set. On a histogram it represents the
highest bar in a bar chart or histogram. You can, therefore, sometimes consider
the mode as being the most popular option.
Type
|
Description
|
Example
|
Result
|
Mean
|
Sum of values divided by
no. of values
|
(1+2+2+3+4+7+9)/7
|
4
|
Median
|
Middle value separating
the greater and lesser halves of a data set
|
1,2,2,3,4,7,9
|
3
|
Mode
|
Most frequent value in a
data set
|
1,2,2,3,4,7,9
|
2
|
Q5. The chi-square test is widely
used in research. Discuss the various applications of chi-square test. Under
what conditions is this test applicable?
Answer. Chi-square is a statistical test
commonly used to compare observed data with data we would expect to obtain
according to a specific hypothesis. For example, if, according to Mendel's
laws, you expected 10 of 20 offspring from a cross to be male and the actual
observed number was 8 males, then you might want to know about the
"goodness to fit" between the observed and expected. Were the
deviations (differences between observed and expected) the result of chance, or
were they due to other factors. How much deviation can occur before you,
Q6.What is analysis of variance? What
are the assumptions of the technique? Give a few examples where this technique
could be used.
Answer. Analysis of Variance (ANOVA) is a statistical method used to test
differences between two or more means. It may seem odd that the technique is
called "Analysis of Variance" rather than "Analysis of
Means." As you will see, the name is appropriate because inferences about
means are made by analyzing variance.
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