M.A. DEGREE EXAMINATION, NOVEMBER 2017
First Semester
Economics
STATISTICAL METHODS
(CBCS 2016 onwards)
Time 3 Hours Maximum 75 Marks
Part A (10 x 2 20)
Answer all questions.
1. Define the term
2. Give the formula to calculate simple Arithmetic Mean.
3. What is qualitative data?
4. What do you mean by Skewness?
5. Define
6. What is scatter diagram?
7. What is F-test?
8. What do you mean by goodness of fit?
9. What is level of significance?
10. Define Mode.
Sub. Code
455103
RW-723
2
Wk 10
Part B x 5 25)
Answer all questions choosing either or
11. Discuss the scope and importance of statistics.
Or
Write a note on coefficient of variation.
12. Write a note on types of correlation.
Or
Calculate rank correlation for the following data.
Rank in Maths 1 2 3 4 5 6 7 8 9 10
Rank in Engilsh 4 8 2 3 5 7 6 9 10 1
13. A bag contains 6 white, 4 red and 10 black balls.
Two balls are drawn at random. Find the
probability that they will both be black.
Or
State and explain the Addition Theorem of
Probability for any two events.
14. Discuss the statistical properties of the estimator.
Or
State the properties of R2.
15. Elucidate the standard deviation and variance.
Or
Explain the importance and scope of the computer
application in Economics.
RW-723
3
Wk 10
Part C x 10 30)
Answer any three questions.
16. Explain the difference between bar chart and pie diagram
and indicate the situations where they can be used.
17. Calculate median for the following series:
Marks below 10 10-20 20-30 30-40
No of students 5 25 40 70
Marks 40-50 50-60 60-70 Above 70
No of students 90 40 20 10
18. Calculate the Karl Pearson s Coefficient of correlation for
the following data
x 28 32 38 42 46 52 54 57 58 63
y 0 1 3 4 2 5 4 6 7 8
19. Define probability. Discuss the importance of probability
in decision making.
20. The following table shows the price and quantity
demanded for a product
Quantity (in Thousand) 8 3 4 7 8 0
Price (in Rs) 2 4 3 1 3 5
Estimate the average price elasticity of demand.
Forecast the level of demand if price rises to Rs.8
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