M.A. (Semester II) (CBCS) Examination Oct/Nov-2017
Economics
QUANTITATIVE TECHNIQUES FOR ECONOMICS II
Day Date: Monday, 20-11-2017 Max. Marks: 70
Time: 10.30 AM to 01.00 PM
Instructions: All questions are compulsory.
Figures to the right indicate full marks.
Q.1 Choose the correct option: marks each) 14
Method used to complete average or central value of collected data is
called as
Measure of Positive Variation Measure of Negative Variation
Measure of Central Tendency Measure of Negative Variation
The most commonly used mathematical method for measuring the trend is

Free Hand Curve Semi-Average Method
Moving Average Method Least Squares Method
An orderly set of data arranged in accordance with their time of occurrence
is called as
Arithmetic Series Harmonic Series
Geometric Series Time Series
Formula of simple growth rate
(present value past value) (past value)*100
(past value present value) (present value)*100
(past value present value) (past value)*100
None of them
Formula of simple price index
Pol

∗ 100 Pol

∗ 100
Pol

∗ 100 None of these
The current year quantities are used as weights in the method.
Laspeyre's Fisher's
Kelly's Passche's
Formula for calculate percentage share
(compound value total value) 100
(compound value total value) 360
(compound value total value) 100
(compound value total value) 100
Q.2 Write short notes: (Any four): 14
Significance of Time Series
Types of Index Number
Paasche's Index Number
Bar Diagram
Growth rate
Page 2 of 2
SLR-HE-7
Q.3 Short answer type questions: (Any 14
Fit straight line trend to the given data by the method of least squares.
Year 2011 2012 2013 2014 2015
Rice
(prod in qtl)
55 58 60 63 70
Calculate the Simple Growth Rate from following given data.
Year 2012 2013 2014 2015 2016
Food Production
(In MT)
36 38 40 45 47
Draw the suitable diagram for expenditure of a family on following data.
Items Expenditure
Room Rent 5000
Travel 1000
Health 500
Cloth 1500
School Fee 1000
Q.4 Descriptive types questions with internal choice. (Any one) 14
Find four yearly moving average from the following data.
Year 1 2 3 4 5 6 7 8 9 10 11 12 13
Value 53 79 76 66 69 94 105 87 79 104 98 97 100
Calculate the Paasche's index number for prices, taking 2011 as the base
year.
2011 2016
Commodity Price Quantity Price Quantity
A 2 7 4 6
B 4 6 9 6
C 5 9 11 7
Q.5 Construct index numbers of prices from the following data using. 14
Laspeyre's
Paasche's and
Fisher's methods
Commodity
Base Year
Price
Base Year
Qty
Current Year
Price
Current Year
Qty
A 8 111 2 77
B 21 100 9 50
C 18 71 7 90
D 6 60 11 85
E 13 80 3 45