LOYOLA COLLEGE (AUTONOMOUS), CHENNAI– 600 034
B.Sc. DEGREE EXAMINATION – STATISTICS
Fifth SEMESTER – NOVEMBER 2003
ST 5502/STA 507 APPLIED STATISTICS
07.11.2003 Max: 100 Marks
1.00 – 4.00
SECTION –A
Answer ALL the questions. Each carries TWO marks. (10 ´ 2 = 20 Marks)
- Distinguish between weighted and unweighted Index numbers.
- What do you mean by splicing of Index numbers?
- How do you eliminate the effect of trend from time series and measure seasonal variations?
- Distinguish between seasonal variations and cyclical fluctuations.
- Given the data: rxy =0.6 rxz = 0.4, find the value of ryz so that Ryz , the coefficient of multiple correlation of x on y and z, is unity.
- Explain briefly the significance of the study of multiple correlation in statistical analysis.
- Define Vital statistics. What is the importance of these statistics?
- What are crude and standardised death rates? Why is comparison on the basis of standardised death rates more reliable?
- Write a short rote on De-Facto and De-Jure enumeration.
- Give that the complete expectation of life at ages 35 and 36 for a particular group are respectively 21.39 and 20.91 years and that the number living at age 35 is 41,176, find the number that attains the age 36.
SECTION – B
Answer any FIVE questions. Each carries eight marks. (5 ´ 8 = 40 Marks)
- An enquiry into the budget of the middle class families in a certain city in
India gave the following information.
Expenses on | Food | Fuel | Clothing | Rent | Misc. |
40% | 10% | 18% | 20% | 12% | |
Prices (2001) (in Rs.)
|
2250 | 600 | 1000 | 1500 | 700 |
Price (2003) | 2500 | 900 | 1100 | 1600 | 800 |
What changes in cost of living figures of 2003 as compared with that
of 2001 are seen?
- Obtain the trend of bank clearance by the method of moving averages by
assuming a 5 -yearly cycle:
Year | 1991 | 92 | 93 | 94 | 95 | 96 |
Bank clearance
(in crores) |
53 | 79 | 76 | 66 | 69 | 94 |
Year | 1997 | 98 | 99 | 2000 | 01 | 02 |
Bank clearance
(in crores |
105 | 87 | 79 | 104 | 97 | 92 |
Also, draw original and trend lines on the graph and compare them.
- Production of a certain commodity is given below:
Year | 1999 | 2000 | 2001 | 2002 | 2003 |
Production (in lakh tons) | 7 | 9 | 10 | 7 | 5 |
Fit a parabolic curve of second degree to the production.
Estimate the production for 2004.
- The following means, standard deviations and correlations are found for
X1= seed hay crop in kgs. per acre, X2 = spring rainfall in inches,
X3 = Accumulated temperature above 42°F.
r12 = 0.8
r13 = – 0.4
r23 = – 0.56
Number of years of data = 25
Find the regression equation for hay crop on spring rainfall
and accumulated temperature.
- a) It is possible to get: r12 = 0.06, r23 = 0.8 and r13 = -5 from a set of
experimental data? (3)
- If all the correlation coefficients of zero order on a set of p variates are
equal to then show that every partial correlation coefficient of the sth
order is (5)
- a) Given the age returns for the two ages x = 9 years and x +1 = 10 years with
a few life-table values as l9 = 75,824, l10 = 75,362, d10 = 418 and
T10 = 49,53,195. Give the complete life-table for the ages of persons. (5)
- b) In what way, does the construction of an abridged life-table differ
from a complete life-table? (3)
- What are the current research developments and landmarks in
agricultural statistics?
- Explain in detail the different methods of measuring National Income.
SECTION – C
Answer any TWO questions. Each carries twenty marks. (2 ´ 20 = 40 Marks)
- a) Using the following data, construct Fisher’s Ideal Index number
and show how it satisfies Time Reversal and Factor Reversal tests:
Commodity |
Base year | Current year | ||
Price | Quantity | Price | Quantity | |
A | 6 | 50 | 10 | 56 |
B | 2 | 100 | 2 | 120 |
C | 4 | 60 | 6 | 60 |
D | 10 | 30 | 12 | 24 |
E | 8 | 40 | 12 | 36 |
(12)
- What are Index numbers? How are they constructed? Discuss the
applications of Index numbers. (8)
- Calculate the seasonal variation indices by the method of link relatives for
the following figures.
Year | Quarterly cement production in 1000 tons | |||
Q1 | Q2 | Q3 | Q4 | |
1998 | 45 | 54 | 72 | 60 |
1999 | 48 | 56 | 63 | 56 |
2000 | 49 | 63 | 70 | 65 |
2001 | 52 | 65 | 75 | 73.5 |
2002 | 63 | 70 | 84 | 66 |
- For the following set of data:
- Calculate the multiple correlation coefficientand the partial correlation coefficient .
- Test the significance of both population multiple correlation coefficient and partial population correlation coefficient at 5% level of significance.
Y | 10 | 17 | 18 | 26 | 35 | 8 |
X1 | 8 | 21 | 14 | 17 | 36 | 9 |
X2 | 4 | 9 | 11 | 20 | 13 | 28 |
(10+10)
- The population and its distribution by sex and number of births in a
town in 2001 and survival rates are given in the table below.
Age group | Males | Females | Male births | Females births | Survival rate |
15 -19 | 6145 | 5687 | 65 | 60 | 0.91 |
20 – 24 | 5214 | 5324 | 144 | 132 | 0.90 |
25 – 29 | 4655 | 4720 | 135 | 127 | 0.84 |
30 – 34 | 3910 | 3933 | 82 | 81 | 0.87 |
35 – 39 | 3600 | 2670 | 62 | 56 | 0.85 |
40 – 44 | 3290 | 3015 | 12 | 15 | 0.83 |
45 – 49 | 2793 | 2601 | 3 | 3 | 0.82 |
From the above data, calculate
- i) Crude Birth Rate
- ii) General fertility rate
iii) Age specific fertility rate
- iv) Total fertility rate
- v) Gross reproduction rate and
- vi) Net reproduction rate; assuming no mortality. (2 +2 + 4 + 2 + 5 +5)