Download JNTU-Hyderabad MBA 3rd Sem R17 2018 Dec 743AC Data Analytics Question Paper

Download JNTUH (Jawaharlal Nehru Technological University Hyderabad) MBA (Master of Business Administration) 3rd Semester (Third Semester) R17 2018 Dec 743AC Data Analytics Previous Question Paper



Code No: 743AC
JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD
MBA III Semester Examinations, December - 2018
DATA ANALYTICS
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 is the importance of Data Analytics? [5]
b) Discuss about measures of Association. [5]
c) Explain the correlation techniques. [5]
d) What is logistic regression? [5]
e) Explain about what-if analysis. [5]

PART - B 5 ? 10 Marks = 50

2. Write about Data Visualisation Techniques. [10]
OR
3. Explore the importance of Data Analytics in business decision making. [10]

4. How to measure Association and Variability of data? [10]
OR
5. Enumerate the Sampling Techniques. [10]

6. Explain about Linear Discriminant Analysis with an example. [10]
OR
7. Realtors are often interested bin seeing how the appraised value of a home varies
according to the size of the home. Some data on area(in thousands of square feet)
and appraised value (in thousands of Dollars) for a sample of 11 homes follow.
Area 1.1 1.5 1.6 1.6 1.4 1.3 1.1 1.7 1.9 1.5 1.3
Value 75 95 110 102 95 87 82 115 122 98 90
Estimate the Least SQUARES TO PREDICT APPRAISED VALUE FROM
SIZE. [10]

8. Explain Data Reduction Techniques in Data Mining. [10]
OR
9. Explain why cluster Analysis is called as unsupervised learning. [10]

10. Explain Monte-Carlo Simulation. [10]
OR
11. Briefly explain Risk Analysis techniques in decision making. [10]


---ooOoo---

R17

FirstRanker.com - FirstRanker's Choice

This post was last modified on 23 October 2020