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Page No 422:
Question 1:
Using Simple Aggregate Method and Price Relatives Method, find out index values for the year 2021 from the following data:
Items | A | B | C | D | E |
2011 Price (₹) | 15 | 33 | 38 | 25 | 50 |
2021 Price (₹) | 30 | 35 | 57 | 35 | 63 |
Answer:
Simple Aggregate Method
Items | 2011 Price (P0) |
2021 Price (P1) |
A B C D E |
15 33 38 25 50 |
30 35 57 35 63 |
ΣP0 = 161 | ΣP1 = 220 |
Price Relative Method
Items | 2011 Price
(P0)
|
2021 Price (P1) |
Price relative =
|
A | 15 | 30 | |
B | 33 | 35 | |
C | 38 | 57 | |
D | 25 | 35 | |
E | 50 | 63 | |
N = 5 |
Page No 422:
Question 2:
Find out index value by the Price Relative Method for the year 2021 from the following data:
Items | A | B | C | D | E | F | G |
2011 Price (₹) | 100 | 10 | 5 | 4 | 1 | 2 | 3 |
2021 Price (₹) | 100 | 9 | 4 | 2 | 1 | 2.50 | 2.25 |
Answer:
Items |
2011 Price
(P0)
|
2021 Price (P1)
|
Price relative |
A | 100 | 100 | |
B | 10 | 9 | |
C | 5 | 4 | |
D | 4 | 2 | |
E | 1 | 1 | |
F | 2 | 2.50 | |
G | 3 | 2.25 | |
N = 7 |
Hence, Price Index = 88.57
Page No 422:
Question 3:
Construct an index number by Price Relatives Method using 2011 as base year:
Goods | A | B | C | D |
2011 Price (₹) | 8 | 10 | 15 | 20 |
2020 Price (₹) | 10 | 12 | 18 | 22 |
2021 Price (₹) | 12 | 14 | 20 | 25 |
Answer:
Goods | 2011 Price (P0) |
2020 Price (P1) |
2021 Price (P2) |
Price relatives of 2020 in relation to 2011 |
Price relatives of 2021 in relation to 2011 |
A | 8 | 10 | 12 | ||
B | 10 | 12 | 14 | ||
C | 15 | 18 | 20 | ||
D | 20 | 22 | 25 | ||
N = 4 |
Page No 422:
Question 4:
Construct and index of prices using 2011 as the base year and Price Relatives Method:
Goods | Weight | 2011 | 2020 | 2021 |
A B C |
5 3 2 |
10 5 4 |
12 6 5 |
14 8 7 |
Answer:
Construction of Price Index for the year 2020
Goods | Weight (W) |
2011 Price (P0) |
2020 Price (P1) |
RW | |
A | 5 | 10 | 12 | 600 | |
B | 3 | 5 | 6 | 360 | |
C | 2 | 4 | 5 | 250 | |
ΣW = 10 | ΣRW = 1210 |
Construction of Price Index for the year 2021
Goods | Weight (W) |
2011 Price (P0) |
2021 Price (P2) |
RW | |
A | 5 | 10 | 14 | 700 | |
B | 3 | 5 | 8 | 480 | |
C | 2 | 4 | 7 | 350 | |
ΣW = 10 | ΣRW = 1530 |
Page No 454:
Question 1:
↵Taking 2011 as base year, construct the index numbers of the years 2017 and 2021.
Year | 2011 | 2017 | 2018 | 2019 | 2020 | 2021 |
Prices (₹) | 10 | 14 | 16 | 20 | 22 | 24 |
Answer:
Year | Price |
2011 | 10 |
2017 | |
2018 | 16 |
2019 | 20 |
2020 | 22 |
2021 |
Since, base year is given as 2011
∴ P0 = 10
Index number for year 2017
Here, P1 = 14
Index number for year 2021
Here, P1 = 24
Substituting the values in the formula
Page No 455:
Question 2:
Construct index number by Price Relative Method taking 2011 as base year:
Year | A | B | C | D |
2011 2019 2020 2021 |
25 20 25 28 |
18 22 20 24 |
16 24 25 30 |
21 22 25 26 |
Answer:
Here, we construct the index number for each of the years from 2019-2021.
Base Year 2011, Current year 2019
2011 ( P0) |
2019 (P1) |
Price Relative = | |
A | 25 | 20 | |
B | 18 | 22 | |
C | 16 | 24 | |
D | 21 | 22 | |
∑ =456.96 |
According to the Price Relative Method, price index is calculated using the following formula.
Base Year 2011, Current year 2020
2011 (P0) |
2020 (P1) |
Price Relative = | |
A | 25 | 25 | |
B | 18 | 20 | |
C | 16 | 25 | |
D | 21 | 25 | |
∑= 486.4 |
Base Year 2011, Current Year 2021
2011 (P0) |
2021 (P1) |
Price Relative = | |
A | 25 | 28 | |
B | 18 | 24 | |
C | 16 | 30 | |
D | 21 | 26 | |
∑ 556.63 |
Page No 455:
Question 3:
Compute a Price Index for the following by (i) Simple Aggregative Method, and (ii) Average of Price Relative Method:
Commodities | A | B | C | D | E | F |
Price in 2011 (₹) | 20 | 30 | 10 | 25 | 40 | 50 |
Price in 2021 (₹) | 25 | 30 | 15 | 35 | 45 | 55 |
Answer:
(i) Simple Aggregate Method
2011 (P0) |
2021 (P1) |
|
A B C D E F |
20 30 10 25 40 50 |
25 30 15 35 45 55 |
∑P0 = 175 | ∑P1 = 205 |
(ii) Price Relative Method
2011 (P0) |
2021 (P1) |
Price Relative = | |
A | 20 | 25 | |
B | 30 | 30 | |
C | 10 | 15 | |
D | 25 | 35 | |
E | 40 | 45 | |
F | 50 | 55 | |
∑ = 737.5 |
Page No 455:
Question 4:
Construct price index number of the following data by using:
(i) Laspeyre's Method, (ii) Paasche's Method, and (iii) Fisher's Method.
Items | Base Year | Current Year | ||
Quantity | Price | Quantity | Price | |
A B C D |
3 7 4 6 |
5 4 7 6 |
2 5 3 5 |
8 6 10 7 |
Answer:
q0 | p0 | p0q0 | p1 | q1 | p1q1 | p1q0 | p0q1 | |
A B C D |
3 7 4 6 |
5 4 7 6 |
15 28 28 36 |
8 6 10 7 |
2 5 3 5 |
16 30 30 35 |
24 42 40 42 |
10 20 21 30 |
(i) Laspeyre's Price index:
(ii) Paasche's Price index:
(iii) Fisher's Price index:
Page No 455:
Question 5:
Construct an index number for the year 2021, taking 2011 as base year by any method you deem ideal:
Year | Good I | Good II | Good III | |||
Price | Quantity | Price | Quantity | Price | Quantity | |
2011 2021 |
5 4 |
10 12 |
8 7 |
6 7 |
6 5 |
3 4 |
Answer:
P0 | q0 | P1 | q1 | P0q0 | P1q1 | P0q1 | P1q0 | |
I II III |
5 8 6 |
10 6 3 |
4 7 5 |
12 7 4 |
50 48 18 |
48 49 20 |
60 56 24 |
40 42 15 |
Fisher's Method
Page No 455:
Question 6:
Given the following data and taking 2011 as the base year, construct index of prices using:
(i) Laspeyre's Method, (ii) Paasche's Method, and (iii) Fisher's Method.
Year | Commodities | |||||||
A | B | C | D | |||||
Price | Quantity | Price | Quantity | Price | Quantity | Price | Quantity | |
2011 2021 |
24 30 |
8 10 |
9 10 |
3 4 |
16 20 |
5 8 |
10 9 |
3 4 |
Answer:
P0 | q0 | P0q0 | P1 | q1 | P1q1 | P1q0 | P0q1 | |
A B C D |
24 9 16 10 |
8 3 5 3 |
192 27 80 30 |
30 10 20 9 |
10 4 8 4 |
300 40 160 36 |
240 30 100 27 |
240 36 128 40 |
∑P0q0 = 329 | ∑P1q1 = 536 | ∑P1q0 =397 | ∑P0q1 = 444 |
Laspeyre's Price index
Paasche's Price index
Fisher's Price index
Page No 456:
Question 7:
Construct a weighted index number of the following data using price relative method:
Item | A | B | C | D | E |
Base Year (Quantity) | 24 | 14 | 8 | 4 | 8 |
Base Year (Price) | 2 | 4 | 6 | 10 | 5 |
Current Year (Price) | 3 | 5 | 9 | 12 | 5 |
Answer:
P0 | q0 | P1 | P0q0 (W) |
RW | ||
A | 2 | 24 | 3 | 48 | 7200 | |
B | 4 | 14 | 5 | 56 | 7000 | |
C | 6 | 8 | 9 | 48 | 7200 | |
D | 10 | 4 | 12 | 40 | 4800 | |
E | 5 | 8 | 5 | 40 | 4000 | |
Weighted index number
Page No 456:
Question 8:
Find out the index number of the following data with Laspeyre's Method:
Commodity | 2017 | 2018 | ||
Price | Quantity | Price | Quantity | |
A B |
70 62 |
7 3 |
80 74 |
6 2 |
Answer:
P0 | q0 | P0q0 | P1 | q1 | P1q0 | |
A B |
70 62 |
7 3 |
490 186 |
80 74 |
6 2 |
560 222 |
∑ P0q0 =676 | ∑P1q0= 782 |
Laspeyre's Price index
Page No 456:
Question 9:
Construct Index number of the following data with Laspeyre's and Paasche's Methods:
Commodity | Base Year | Current Year | ||
Quantity | Price | Quantity | Price | |
A B C |
10 8 5 |
0.80 0.85 1.30 |
11 9 5.5 |
0.70 0.90 0.80 |
Answer:
P0 | q0 | P0q0 | P1 | q1 | P1q1 | P0q1 | P1q0 | |
A B C |
0.8 0.85 1.35 |
10 8 5 |
8 6.8 6.5 |
0.7 0.9 0.8 |
11 9 5.5 |
7.7 8.1 4.4 |
8.8 7.65 7.15 |
7 7.2 4 |
Laspeyre's Price Index
Passche's Price index
Page No 456:
Question 10:
Construct index numbers of the following data by Fisher's Method:
Commodity | Base Year | Current Year | ||
Price | Value | Price | Value | |
A
B C D E |
3 5 6 4 8 |
18 35 42 32 24 |
7 10 11 6 9 |
10 100 55 60 36 |
Answer:
P0 | Value (Base Year) |
P0q0 | P1 | Value (Current Year) |
P1q1 | P1q0 | P0q1 | |||
A B C D E |
3 5 6 4 8 |
18 35 42 32 24 |
6 7 7 8 3 |
18 35 42 32 24 |
7 10 11 6 9 |
14 100 55 60 36 |
2 10 5 10 4 |
14 100 55 60 36 |
42 70 77 48 27 |
6 50 30 40 32 |
151 |
Fisher's Price Index
Page No 456:
Question 11:
Construct Cost of Living Index on the basis of the following data:
Items | Price | Weight |
Wheat Rice Maida Pulses Oil |
241 150 200 170 125 |
10 4 2 2 2 |
Answer:
Items | Price (P) |
Weights (W) |
PW |
Wheat Rice Maida Pulses Oil |
241 150 200 170 125 |
10 4 2 2 2 |
2410 600 400 340 250 |
∑W=20 | ∑PW = 4000 |
Cost of living Index
Page No 457:
Question 12:
Construct Consumer Price Index Number with the help of the following data:
Consumer Items | Price | Weight |
Food Fuel Cloth House Rent Miscellaneous |
125 120 66.67 120 150 |
40 10 25 15 10 |
Answer:
Items | Price (P) |
Weights (W) |
PW |
Food Fuel Cloth House rent Miscellaneous |
125 120 66.67 120 150 |
40 10 25 15 10 |
5000 1200 16 66.75 1800 1500 |
Consumer price index
Page No 457:
Question 13:
From the following data find Consumer Price Index or Cost of Living Index:
Items | Quantity Consumed in Current Year | Price in Base year | Price in Current Year |
Rice Pulses Oil Clothing Housing Miscellaneous |
30 qt 36 kg 24 l 72 metres per month per month |
12 0.4 1.5 0.75 20 20 |
25 0.6 2.2 10 30 15 |
Answer:
Items | q1 | P0 | P1 | P1q1 | P0q1 |
Rice Pulses Oil Clothing Housing Miscellaneous |
30 36 24 72 1 1 |
12 0.4 1.5 0.75 20 20 |
25 0.6 2.2 10 30 15 |
750 21.6 52.8 720 30 15 |
360 14.4 36 54 20 20 |
Note that here we are given the current year quantities for different items. So, the Consumer Price Index is calculated using the following formula.
Page No 457:
Question 14:
Construct Cost of Living Index Number for the year 2021 from the following statistics:
Commodity | 2011 Price | 2011 Quantity | 2021 Price |
A B C D E |
25 36 12 6 28 |
16.0 7.0 3.5 2.5 4.0 |
35 48 16 10 28 |
Answer:
P0 | q0 | P1 | P1q0 | P0q0 | |
A B C D E |
25 36 12 6 28 |
16 7 3.5 2.5 4 |
35 48 16 10 28 |
560 336 56 25 112 |
400 252 42 15 112 |
Cost of Living Index
Page No 457:
Question 15:
Find the Consumer Price Index from the following data. Using
(i) Aggregative Expenditure Method, and
(ii) Family Budget Method.
Is there any difference between the two results?
Commodity | Quantity Consumed in the year 2011 | Unit | Price in 2011 (₹) |
Price in 2021 (₹) |
Rice Wheat Bajra Arhar Desi Ghee Sugar |
6 8 1 2 20 1 |
Quintal Quintal Quintal Quintal kg Quintal |
100 80 70 120 12 160 |
120 90 70 115 15 170 |
Answer:
q0 | P0 | P1 | W = P0q0 | P1q0 | WR | ||
Rice | 6 | 100 | 120 | 600 | 720 | 72,000 | |
Wheat | 8 | 80 | 90 | 640 | 720 | 72,000 | |
Bajra | 1 | 70 | 70 | 70 | 70 | 70,000 | |
Arhar | 2 | 120 | 115 | 240 | 230 | 22,999.2 | |
Ghee | 20 | 12 | 15 | 240 | 300 | 30,000 | |
Sugar | 1 | 160 | 170 | 160 | 170 | 17,000 | |
283999.2 |
(i) Aggregate expenditure method
(ii) Family Budged Method
Yes, there is a difference between the values calculated by the two methods.
Difference = 145.64 – 113.33 = 32.31
Page No 458:
Question 16:
Construct index number of industrial production in the year 2021 from the following data on the basis of 2011's production:
Industry | Units | 2011 | 2021 | Weight |
Electrical and Electronics Metallurgical Mechanical Mining Textiles Miscellaneous |
Mill. Nos. Th. Tonnes Th. Tonnes Th. Tonnes Mill. Mtrs. Th. Tonnes |
12 22 72 100 60 123 |
70 37 105 123 130 270 |
36 12 10 22 8 12 |
Answer:
Industry | q0 | q1 | Weight (W) |
WR | |
Electronics | 12 | 70 | 36 | 20999.88 | |
Metallurgical | 22 | 37 | 12 | 2018.16 | |
Mechanical | 72 | 105 | 10 | 1458.3 | |
Mining | 100 | 123 | 22 | 2706 | |
Textiles | 60 | 130 | 8 | 1733.36 | |
Misce. | 123 | 270 | 12 | 2634.12 | |
∑W = 100 | ∑ WR = 31549.82 |
Index number of Industrial Production
Page No 458:
Question 17:
Construct index number of industrial production from the following data:
Item | Units | Production or Output | Weight | |
Base year | Current Year | |||
Mechanical Sugar and Tea Textile Mining Transportation Electricity and Electronics |
Mill. Nos. Th. Tonnes Mill. Mtrs. Th. Tonnes Mill. Nos. Mill. Nos. |
237 62 572 165 335 87 |
400 150 820 200 727 323 |
5 10 35 15 20 15 |
Answer:
Item | Base year (q0) |
Current year (q1) |
Relatives values | Weight (W) |
WR |
Mechanical | 237 | 400 | 168.78 | 5 | 843.85 |
Sugar and Tea | 62 | 150 | 241.19 | 10 | 2419.35 |
Textile | 572 | 820 | 143.35 | 35 | 5017.48 |
Mining | 165 | 200 | 121.21 | 15 | 1818.15 |
Transportation | 335 | 727 | 217.01 | 20 | 4340.2 |
Electricity and electronics | 87 | 323 | 371.26 | 15 | 5568.9 |
∑W = 100 | ∑RW = 20008.3 |
Index number of Industrial Production
Page No 458:
Question 18:
Construct index number of industrial production from the following data:
Industry | Number of Items | Weight | |
Base Year | Current Year | ||
Mining and Quarrying Manufacturing Electricity and Electronics |
35 413 10 |
107 1225 27 |
10 85 5 |
Answer:
Industry | Base year (q0) |
Current year (q1) |
Relatives values R |
Weight (W) |
WR |
Mining and quarrying Manufacturing Electricity and electronics |
35 413 10 |
107 1225 27 |
305.71 296.61 270 |
10 85 5 |
3057.1 25211.85 1350 |
∑W = 100 | ∑RW = 29618.95 |
Index number
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