2. Q. What is meant by marketing research? What are the task of marketing research?
MARKETING RESEARCH:
MARKETING RESEARCH IS SYSTEMATIC AND OBJECTIVE, IDENTIFICATION, COLLECTION,
ANALYSIS, DISSEMINATION AND USE OF INFORMATION FOR THE PURPOSE OF
IMPROVING DECISION MAKING RELATED TO IDENTIFICATION AND SOLUTION OF THE
PROBLEM AND OPPORTUNITIES OF MARKETING.
TASK OF MARKETING RESEARCH:
• TO ASSESS THE INFORMATION NEEDS.
• TO PROVIDE MANAGEMENT WITH RELEVANT, ACCURATE, RELIABLE AND
ACTIONABLE INFORMATION.
3. Q. What is the Difference between problem identification research and
problem solving research?
Problem identification research:
Market potential research
Market characteristics research
Market share research
Image research
Sales analysis research
Forecasting research
Business trends research.
Problem solving research:
Segmentation research
Product research
Pricing research
Distribution research
Promotion research
4. Q. What is the Difference between MIS and DSS?
MIS (Management information
system):
Ongoing process
Structured problem
Use reports
Rigid structure
Information display
restricted
DSS (Decision support system):
Integrated system
Unstructured problem
Use model
User friendly
adaptability
5. Q. What are the common forms of analytical
model?
verbal model (written representation)
graphical model (graph)
mathematical model (y = a+bx)
6. Q. Discuss the step of sampling process?
Step of sampling process:
1.Define the target population.
2.Determine the sample frame
3.Select a sample technique
4.Determine the sample size
5.Execute the sampling process
7. Q. What do you mean funnel approach and branching question?
Funnel approach:
Ordering question
Sequence starts with
general question
To prevent specific
question from biasing
General question.
Branching question:
Survey directing by the
interviewer
To different spot
Questionnaire depend on
the answer given.
8. Q. What are the task involved in defining
research problem?
Task involved in defining research problem:
1.Discussion with the decision makers
2.Interviews with expert
3.Analysis of secondary data
4.To conduct some qualitative research such as
focused group discussion, depth interviews.
9. Q. what are the Data preparation process?
Preparing preliminary plan of data analysis
Questionnaire checking
Editing
Coding
Transcribing
Data cleaning
Statistically adjusting the data
Selecting data analysis strategy
10. Q. Difference between parametric test and non-parametric test?
Parametric test:
Measured on interval
scale
Metric data
In one sample
-t test
-z-test
Non-parametric test:
Measured on nominal
or ordinal scale
Nonmetric data
In one sample
-chi square
- K-S
-BINOMINAL
11. Q. What step involved in Data collection process?
1. Selection of field workers
2. Training of field workers
3. Supervision of field workers
4. Validation of field workers
5. Evaluation of field workers
12. Q. what are the classification of sampling technique?
A . Nonprobability sampling:
(Convenience)
1. Convenience sampling
(interviewing street people)
2. Judgmental sampling( shop
house)
3. Quota sampling(gender, age)
4. Snowball sampling(referrals from
referrals)
B . Probability sampling:(random)
1. Simple random
2. Systematic sampling
3. Stratified sampling
4. Cluster sampling
13. Q. What are the classification of survey method?
14. Q. What are the step involved in Question design process?
1. Specify the information need
2. Specify the type of interviewing method
3. Determine the content of individual question
4. Design the question to overcome the respondents
inability and unwillingness to answer
5. Decide the question structure
6. Choosing question wording
7. Determine the order of the Question
8. Choose the form and layout
9. Reproduction of the questionnaire
10. Eliminate bugs by pretesting. (bugs-potential error)
15. Q. What are the principle of oral
presentation?
Tell em’ principle: the principle state
Tell em’ what you are going to Tell em’
Tell em’
Tell em’ what you have told em’
Kiss em’ principle:
Keep it simple and straight forward
16. Q. What are the criteria to be used when evaluating secondary
data?
1. Specification (methodology used in collect data)
2. Error (accuracy of data)
3. Currency (when the data collected)
4. Objective (the purpose which data collected)
5. Nature ( the content of the data)
6. Dependability (how dependable are the data)
18. Q. what are the elements of marketing proposal?
Elements of marketing proposal:
Executive summery (overview)
Background
Problem definition
Approach to the problem
Research design
Data collection
Data analysis
Reporting
Cost and time
Appendix
19. Q. what are the difference between sample and census?
Sample:
A subgroup of the element of
the population selected for
participation in the study
Need small budget
Population size large
Cost of sampling errors low
Destructive measurement
Census:
A complete enervation of
elements of population
Need large budget
Population size small
Cost of sampling errors
high
Nondestructive
measurement
20. Q. what is content and trace analysis?
Content analysis:
It is a research tool or technique that help to
analyze the actual content and it is features
of any kind, whether it was a word, picture,
themes, text, and try to present the content
in objective and quantitative manner.
Content analysis is a research tool focused
on the actual content and internal features
of media. It is used to determine the
presence of certain words, concepts,
themes, phrases, characters, or sentences
within texts or sets of texts and to quantify this
presence in an objective manner.
it enables researcher to shift through large
volume of data
it allow us to discover and describe the focus
of individual group, social attention
Trace analysis:
Trace analysis as a
measurement below one ppm
(μg/g) while others use the term
to describe an analyze
concentration low enough to
cause difficulty. This difficulty
may be caused by the sample
size or the matrix (i.e. - the
concentration of analyze of
interest relative to the matrix or
the sample size causes difficulty
for the analyst). Most trace
analysts using ICP-OES / ICP-MS
prefer the latter definition.
21. Q. what is type I &type II error?
Type I error:
A type I error (or error of the first kind)
is the incorrect rejection of a true null
hypothesis. Usually a type I error leads
one to conclude that a supposed
effect or relationship exists when in
fact it doesn't. Examples of type I
errors include a test that shows a
patient to have a disease when in
fact the patient does not have the
disease, a fire alarm going off
indicating a fire when in fact there is
no fire or an experiment indicating
that a medical treatment should cure
a disease when in fact it does not.
Type II error:
A type II error (or error of the
second kind) is the failure to
reject a false null hypothesis.
Examples of type II errors
would be a blood test failing
to detect the disease it was
designed to detect, in a
patient who really has the
disease; a fire breaking out
and the fire alarm does not
ring or a clinical trial of a
medical treatment failing to
show that the treatment works
when really it does.
22. Q. what is central limit theorem?
A statistical theory that states that given a
sufficiently large sample size from a
population with a finite level of variance,
the mean of all samples from the same
population will be approximately equal to
the mean of the population.
23. Q.WHAT THE GOOD CHARECTRAISTICS & TYPES OF HYPOTHESIS
TESTING?