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Index Numbers and Time Based Data

CBSE · Class 12 · Applied Mathematics

NCERT Solutions for Index Numbers and Time Based Data — CBSE Class 12 Applied Mathematics.

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6.10 Check Your Understanding — Reflective Questions

Q1Judge the correctness or otherwise of the following statements:
i) An index number is a pure number
ii) Index numbers are independent of choice of unit
iii) An index number can be a negative quantity
iv) The purchase power of money decreases as the wholesale index increases
Show solution
i) Correct. An index number is a ratio (or percentage) of two values, so all units cancel out, making it a pure (dimensionless) number.

ii) Correct. Because index numbers are ratios, they do not depend on the units in which prices or quantities are measured.

iii) Incorrect. An index number is always a ratio of two positive quantities multiplied by 100, so it is always a non-negative number.

iv) Correct. As the wholesale price index rises, the same amount of money buys fewer goods, meaning the purchasing power of money falls.

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Q2A price index which is based on the prices of the items in the composite, weighted by their relative index is called:
i) price relatives
ii) Consumer price index
iii) Weighted aggregative price index
iv) Simple aggregative index
Show solution
Correct Answer: iii) Weighted aggregative price index

A weighted aggregative price index uses the prices of items weighted by their quantities (or relative importance), giving a composite measure of price change. This distinguishes it from a simple aggregative index (no weights) or price relatives (individual ratios).

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Q3A weighted aggregate price index in which the weight for each variable is considered its current-period quantity is:
i) Aggregative index
ii) Consumer Price index
iii) Laspeyres Index
iv) Paasche's index
Show solution
Correct Answer: iv) Paasche's index

Paasche's price index uses current-period quantities as weights:
PPaasche=p1q1p0q1×100P_{\text{Paasche}} = \frac{\sum p_1 q_1}{\sum p_0 q_1} \times 100
where q1q_1 denotes current-year quantities. Laspeyres, by contrast, uses base-period quantities.

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Q4An index constructed to measure changes in quantities over a period of time is:
i) Quantity index
ii) Time series index
iii) Quality index
iv) Value index
Show solution
Correct Answer: i) Quantity index

A quantity index measures the change in the volume/quantity of goods produced, consumed, or traded over time, keeping prices constant. It is defined as:
Q01=q1p0q0p0×100Q_{01} = \frac{\sum q_1 p_0}{\sum q_0 p_0} \times 100

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Q5For calculating the weighted index number, which of the following uses quantities consumed in the base period as weights:
i) Fisher's method
ii) Paasche's method
iii) Laspeyres method
iv) Aggregative method
Show solution
Correct Answer: iii) Laspeyres method

Laspeyres price index uses base-period quantities (q0q_0) as weights:
PLaspeyres=p1q0p0q0×100P_{\text{Laspeyres}} = \frac{\sum p_1 q_0}{\sum p_0 q_0} \times 100

*(Note: The answer key in the textbook states i), but by definition Laspeyres uses base-period quantities. Fisher's method is the geometric mean of Laspeyres and Paasche's. The standard correct answer is iii) Laspeyres method.)*

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Q6What is the index number of the base period?
i) 200
ii) 300
iii) 10
iv) 100
Show solution
Correct Answer: iv) 100

By convention, the index number of the base period is always taken as 100, since the price (or quantity) is compared with itself:
I0=p0p0×100=100I_0 = \frac{p_0}{p_0} \times 100 = 100

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Q7Index number is a special type of:
i) Average
ii) Dispersion
iii) Correlation
iv) None of the above
Show solution
Correct Answer: i) Average

An index number is a specialised average (typically a weighted average of price relatives or aggregates) that summarises the overall change in a group of related variables over time or space.

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Q8Index number is always expressed in:
i) Percentage
ii) Ratio
iii) Proportion
iv) None of the above
Show solution
Correct Answer: i) Percentage

Index numbers are conventionally expressed as percentages. The formula multiplies the ratio by 100:
I=p1p0×100I = \frac{p_1}{p_0} \times 100
so the result is always a percentage figure (e.g., 120 means a 20% increase over the base).

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Q9Which index number is called as ideal index number?
i) Laspeyres
ii) Paasche's
iii) Fisher
iv) None of the above
Show solution
Correct Answer: iii) Fisher

Fisher's index is called the Ideal Index because:
1. It is the geometric mean of Laspeyres and Paasche's indices, thus balancing the upward bias of Laspeyres and the downward bias of Paasche's.
2. It satisfies both the Time Reversal Test and the Factor Reversal Test.
PFisher=PLaspeyres×PPaascheP_{\text{Fisher}} = \sqrt{P_{\text{Laspeyres}} \times P_{\text{Paasche}}}

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Q10In Laspeyres price index number weight is considered as:
i) Quantity in base year
ii) Quantity during current year
iii) Prices in base year
iv) Prices in current year
Show solution
Correct Answer: i) Quantity in base year

Laspeyres price index:
PL=p1q0p0q0×100P_L = \frac{\sum p_1 q_0}{\sum p_0 q_0} \times 100
The weight used is q0q_0, i.e., the quantity in the base year.

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Q11In Paasche's price index number weight is considered as:
i) Quantity in base year
ii) Quantity in current year
iii) Prices in base year
iv) Prices in current year
Show solution
Correct Answer: ii) Quantity in current year

Paasche's price index:
PP=p1q1p0q1×100P_P = \frac{\sum p_1 q_1}{\sum p_0 q_1} \times 100
The weight used is q1q_1, i.e., the quantity in the current year.

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Q12Fisher's price index number is the:
i) A.M. of Laspeyres and Paasche's
ii) G.M. of Laspeyres and Paasche's
iii) Difference between Laspeyres and Paasche's
iv) None of the above
Show solution
Correct Answer: ii) G.M. of Laspeyres and Paasche's

PFisher=PL×PP=p1q0p0q0×p1q1p0q1×100P_{\text{Fisher}} = \sqrt{P_L \times P_P} = \sqrt{\frac{\sum p_1 q_0}{\sum p_0 q_0} \times \frac{\sum p_1 q_1}{\sum p_0 q_1}} \times 100
It is the geometric mean (G.M.) of Laspeyres (PLP_L) and Paasche's (PPP_P) indices.

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Q13When the prices of rice are to be compared, we compute:
i) Volume index
ii) Value index
iii) Price index
iv) Aggregative index
Show solution
Correct Answer: iii) Price index

A price index measures the relative change in the price of a commodity (here, rice) over time. It is computed as:
Price Index=p1p0×100\text{Price Index} = \frac{p_1}{p_0} \times 100

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Q14Purchasing power of money can be accessed through:
i) Simple index
ii) Fisher's index
iii) Consumer price index
iv) Volume index
Show solution
Correct Answer: iii) Consumer price index

The Consumer Price Index (CPI) measures the average change in prices paid by consumers for a basket of goods and services. The purchasing power of money is the reciprocal of CPI:
Purchasing Power=1CPI×100\text{Purchasing Power} = \frac{1}{\text{CPI}} \times 100

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Q15Cost of living at two different cities can be compared with the help of:
i) Value index
ii) Consumer price index
iii) Volume index
iv) Un-weighted index

6.11 Practice Exercise

Q1Calculate index numbers from the following data by simple aggregate method taking prices of 1995 as base period.

| Commodity | A | B | C | D |
|---|---|---|---|---|
| Price 1995 (₹/unit) | 80 | 50 | 90 | 30 |
| Price 2005 (₹/unit) | 95 | 60 | 100 | 45 |
Q2Construct price index number from the following data using i) Laspeyre's Method ii) Paasche's method iii) Fisher's Ideal method

| Commodity | Price 2008 | Price 2010 | Qty 2008 | Qty 2010 |
|---|---|---|---|---|
| P | 2 | 4 | 8 | 5 |
| Q | 5 | 6 | 12 | 10 |
| R | 4 | 5 | 15 | 12 |
| S | 2 | 4 | 18 | 20 |
Q3Taking 1995 as base year calculate relative index number for the years 1997–2005.

| Year | 1995 | 1997 | 1999 | 2001 | 2003 | 2005 |
|---|---|---|---|---|---|---|
| Price (₹) | 12 | 14 | 13 | 20 | 25 | 21 |
Q4Compute the weighted aggregative index number for the following data:

| Variable | Current year price | Base year price | Weights |
|---|---|---|---|
| X | 5 | 4 | 60 |
| Y | 3 | 2 | 50 |
| Z | 2 | 1 | 30 |
Q5Calculate price index number for 2010 taking 1990 as the base year from the following data by simple aggregative method:

| Item | Rice | Wheat | Pulses | Millets | Oil |
|---|---|---|---|---|---|
| Price in 1990 (₹) | 60 | 40 | 100 | 60 | 90 |
| Price in 2010 (₹) | 140 | 60 | 205 | 70 | 100 |
Q6Based on the data on the expenses of middle-class families in a certain city, calculate the cost-of-living index during the year 2003 as compared with 1990:

| Expenses | Food | Fuel | Clothing | Rent | Miscellaneous |
|---|---|---|---|---|---|
| Price 2003 (₹) | 1500 | 250 | 750 | 300 | 425 |
| Price 1990 (₹) | 1400 | 200 | 400 | 200 | 250 |
Q7From the data given below, obtain the index of retail prices in India for years 1995, 1996, 1997 with the year 1981 as base period.

| Year | Index of sales volume | Index of sales value |
|---|---|---|
| 1995 | 101 | 105 |
| 1996 | 113 | 108 |
| 1997 | 106 | 124 |
Q8Calculate the price index number for the following data using weighted aggregative method:

| Commodity | Unit | Weight | Base year price | Current year price |
|---|---|---|---|---|
| P | Quintal | 14 | 90 | 120 |
| Q | Kg | 20 | 10 | 17 |
| R | Dozen | 35 | 40 | 60 |
| S | Litre | 15 | 50 | 93 |
Q9Based on the given data, check whether i) Paasche's formula and ii) Fisher's formula will satisfy the time reversal test:

| Commodity | Base Year Price | Base Year Qty | Current Year Price | Current Year Qty |
|---|---|---|---|---|
| P | 4 | 10 | 6 | 15 |
| Q | 6 | 15 | 4 | 20 |
| R | 8 | 5 | 10 | 4 |
Q10The annual rainfall (in cm) was recorded for Cherrapunji, Meghalaya:

| Year | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 |
|---|---|---|---|---|---|---|---|---|---|
| Rainfall (cm) | 1.2 | 1.9 | 2.0 | 1.4 | 2.1 | 1.3 | 1.8 | 1.1 | 1.3 |

Determine the trend of rainfall by 3-year moving averages.
Q11Compute the seasonal indices by 4-year moving averages from the given data of production of paper (in thousand tons):

| Year | 1980 | 1981 | 1982 | 1983 | 1984 | 1985 | 1986 | 1987 | 1988 | 1989 |
|---|---|---|---|---|---|---|---|---|---|---|
| Production | 2450 | 1470 | 2150 | 1800 | 1210 | 1950 | 2300 | 2500 | 2480 | 2680 |
Q12Given below is the data of workers welfare expenses (in lakh ₹) in steel industries during 2001–2005. Use method of least squares to:
i) tabulate the trend values
ii) find the best fit for a straight-line trend
iii) compute expected sale trend for year 2006

| Year | 2001 | 2002 | 2003 | 2004 | 2005 |
|---|---|---|---|---|---|
| Welfare expenses (lakh ₹) | 160 | 185 | 220 | 300 | 510 |
Q13Fit a straight-line trend by method of least squares for the following data and also find the trend value for year 1998:

| Year | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 |
|---|---|---|---|---|---|---|
| Production (tons) | 210 | 225 | 275 | 220 | 240 | 235 |

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