Exam Details

Subject statistics for business
Paper
Exam / Course m.b.a. in business analytics
Department
Organization alagappa university
Position
Exam Date November, 2017
City, State tamil nadu, karaikudi


Question Paper

M.B.A. (Business Analytics) DEGREE EXAMINATION,
NOVEMBER 2017
STATISTICS FOR BUSINESS
(2016 onwards)
Time 3 Hours Maximum 75 Marks
Part A (10 x 2 20)
Answer all questions.
1. What is Inferential Statistics?
2. What is Qualitative Data?
3. What is the Gaussian Curve?
4. What is Normal Distributed Data?
5. What is a Hypothesis?
6. What is Alternative Hypothesis?
7. What do you mean "DISCOUNT"?
8. What is Simple Interest?
9. What is Business Statistics?
10. What is Regression?
Sub. Code
14
CP-8246
2
sp3
Part B x 5 25)
Answer all questions.
11. Describe the Univariate Analysis in Statistics.
Or
Explain the Mean, Median, Mode.
12. Define the Poisson Distribution.
Or
Discuss the Importance of Multi-stage Sampling.
13. Explain the Significance and Uses of Hypothesis
Testing in Statistics.
Or
What is Statistical Inference and why is it
Important?
14. Explain the Importance of Discounting and
Compounding in Financial Mathematics.
Or
Define the Simple interest, Compound Interest, and
Discount in Finance.
15. Explain the role of correlation testing in business
statistics.
Or
Narrate the ordinary least square regression in
detail.
CP-8246
3
sp3
Part C x 10 30)
Answer all questions.
16. Discuss the Measures of Central Tendency in
statistics.
Or
Explain the significance of measures of Association
in descriptive statistics.
17. Define the impact of Business Statistics in detail.
Or
Discuss the role of Probability Distributions.
18. Evaluate the performance of hypothesis testing in
detail.
Or
Analysis the relationship between, the correlation
and regression in detail.
———————


Other Question Papers

Subjects

  • accounting for business analysts
  • business law and ethics
  • consumer behaviour
  • data mining for business analytics
  • dbms and data warehousing
  • economic analysis for business decisions
  • financial management
  • fundamentals of business analytics
  • fundamentals of digital marketing
  • human resource management
  • management concepts and practices
  • marketing management
  • multivariate data analysis-i
  • project management and budgeting
  • research methodology
  • spread sheet modeling
  • statistics for business
  • time series econometrics
  • written analysis and communication