Download JNTU-Hyderabad MBA 1st Sem R17 2020 Jan E761AD Research Methodology And Statistical Analysis Question Paper

Code No: E761AD

JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

MBA I Semester Examinations, January - 2020

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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

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1. a) What are the features of a good research study? [5]
2. b) List and describe some sources of primary data collection. [5]
3. c) Differentiate between univariate and multivariate data. [5]
4. d) When is a t-test used? What are its different types? [5]
5. e) What are some problems that are encountered while constructing index numbers? [5]

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PART - B 5 × 10 Marks = 50

1. 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
   Describe the research process in detail. Take an example of doing market research before launching a new product. [10]
2. What are the features of a good research design? [10]
   

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   OR
   What is a research design? Discuss the different types of common research designs. [10]
3. Define tabulation. Explain in detail the different parts of a table. [10]
   OR
   What is a dependent sample or repeated measures t-test? Explain its use by giving a suitable example. [10]

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4. What is ANOVA? How is an ANOVA table setup? [10]
   OR
   Use the sample data below to test the hypotheses
   Ho: p1 = p2 = p3
   H1: Not all population proportions are equal
   

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   Where p₁ 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]
5. What do you understand by Exploratory Factor Analysis? Explain its use-case and utility for research by giving a suitable example. [10]
   OR
   Consider the following time series data.
   

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   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]

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