M.A. DEGREE EXAMINATION, APRIL 2018
Second Semester
Economics
STATISTICAL METHODS
(CBCS 2017 onwards)
Time 3 Hours Maximum 75 Marks
Section A (10 x 2 20)
Answer all questions.
1. What do you understand by primary data?
2. Calculate the mean, median and mode from the following
data.
25, 15, 23, 40, 27, 25, 23, 25 and 20.
3. What is conditional probability?
4. What is meant by Poisson distribution?
5. What is meant by simple random sampling?
6. Define hypothesis.
7. What is meant by whole sale price index?
8. What is meant by 'Time series'?
9. What is meant by R2?
10. Define dependent variable.
Sub. Code
7MEC2C4
AFS-0503
2
WS3
Section B x 5 25)
Answer all questions, choosing either or
11. State the essential characteristics of good table.
Or
Compute mean deviation from the following data.
Height in inches: 58 59 60 61 62 63 64 65 66
No. of students: 15 20 32 35 33 22 20 10 8
12. Give the Addition theorem of probability.
Or
Explain the properties of Normal distribution.
13. Write a short note on sampling errors and nonsampling
errors.
Or
Explain the term level of significance in testing of
hypothesis.
14. Explain the components of Time Series analysis
Or
The following table gives the annual wages of a
worker together with the price index numbers.
Compute the index number of real income.
Year: 1979 1980 1981 1982 1983 1984 1985
Annual wage

360 420 500 550 600 640 680
Price Index: 100 104 115 160 280 290 300
AFS-0503
3
WS3
15. Explain the maximum likelihood method of
estimation.
Or
Describe the need for dummy variable.
Section C 10 30)
Answer any three questions.
16. Briefly describe the methods of measuring central
tendency and point out the merits and limitations of each
method.
17. Discuss the multiplication theorems of probability.
18. Two independent samples of 8 and 7 items respectively
had the following values.
Sample I 9 11 13 11 15 9 12 14
Sample II 10 12 10 14 9 8 10
Is the difference between the means of the two samples
significant?
19. Explain the uses of index number. Describe the procedure
followed in the preparation of cost of living index number.
20. The following data give the height in inches and the
weight is lbs. of a random sample of 10 students from
a large group of students of age 17 years:
Height 61 68 68 64 65 70 63 62 64 67
Weight 112 123 130 115 110 125 100 113 116 126
Estimate the weight of a student of height 69 inches by
using regression analysis.
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