Download JNTUH (Jawaharlal Nehru Technological University Hyderabad) MBA (Master of Business Administration) 1st Semester (First Semester) R17 2020 Jan E761AD Research Methodology And Statistical Analysis Previous Question Paper
Code No: E761AD
JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD
MBA I Semester Examinations, January - 2020
RESEARCH METHODOLOGY AND STATISTICAL ANALYSIS
Time: 3hours Max.Marks:75
Note: This question paper contains two parts A and B.
Part A is compulsory which carries 25 marks. Answer all questions in Part A. Part B
consists of 5 Units. Answer any one full question from each unit. Each question carries
10 marks and may have a, b, c as sub questions.
PART - A 5 ? 5 Marks = 25
1.a) What are the features of a good research study? [5]
b) List and describe some sources of primary data collection. [5]
c) Differentiate between univariate and multivariate data. [5]
d) When is a t-test ? What are its different types? [5]
e) What are some problems that are encountered while constructing index numbers? [5]
PART - B 5 ? 10 Marks = 50
2. What is meant by research? What are the objectives of research and its managerial
value? What are the different types of research? Discuss in detail. [10]
OR
3. Describe the research process in detail. Take an example of doing market research
before launching a new product. [10]
4. What are the features of a good research design? [10]
OR
5. What is a research design? Discuss the different types of common research designs.
[10]
6. Define tabulation. Explain in detail the different parts of a table. [10]
OR
7. What is a dependent sample or repeated measures t-test? Explain its use by giving a
suitable example. [10]
8. What is ANOVA? How is an ANOVA table setup? [10]
OR
9. Use the sample data below to test the hypotheses
H
o
: p1 = p2 = p3
H
1
: Not all population proportions are equal
Where p
i
is the population proportion of Yes response for population i. Using a 0.05
level of significance, what is the p-value and what is your conclusion? [10]
R17
S
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Code No: E761AD
JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD
MBA I Semester Examinations, January - 2020
RESEARCH METHODOLOGY AND STATISTICAL ANALYSIS
Time: 3hours Max.Marks:75
Note: This question paper contains two parts A and B.
Part A is compulsory which carries 25 marks. Answer all questions in Part A. Part B
consists of 5 Units. Answer any one full question from each unit. Each question carries
10 marks and may have a, b, c as sub questions.
PART - A 5 ? 5 Marks = 25
1.a) What are the features of a good research study? [5]
b) List and describe some sources of primary data collection. [5]
c) Differentiate between univariate and multivariate data. [5]
d) When is a t-test ? What are its different types? [5]
e) What are some problems that are encountered while constructing index numbers? [5]
PART - B 5 ? 10 Marks = 50
2. What is meant by research? What are the objectives of research and its managerial
value? What are the different types of research? Discuss in detail. [10]
OR
3. Describe the research process in detail. Take an example of doing market research
before launching a new product. [10]
4. What are the features of a good research design? [10]
OR
5. What is a research design? Discuss the different types of common research designs.
[10]
6. Define tabulation. Explain in detail the different parts of a table. [10]
OR
7. What is a dependent sample or repeated measures t-test? Explain its use by giving a
suitable example. [10]
8. What is ANOVA? How is an ANOVA table setup? [10]
OR
9. Use the sample data below to test the hypotheses
H
o
: p1 = p2 = p3
H
1
: Not all population proportions are equal
Where p
i
is the population proportion of Yes response for population i. Using a 0.05
level of significance, what is the p-value and what is your conclusion? [10]
R17
S
www.FirstRanker.com www.FirstRanker.com
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www.FirstRanker.com
10. What do you understand by Exploratory Factor Analysis? Explain its use-case and
utility for research by giving a suitable example. [10]
OR
11. Consider the following time series data.
Week 1 2 3 4 5 6
Units 18 13 16 11 17 14
Develop a three-week moving average forecasts for this time series. Compute MSE and
a forecast for week 7. Use alpha 0.2 to compute exponential smoothing forecasts for the
time series. [10]
--ooOoo--
S
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This post was last modified on 23 October 2020