
Range Range is the simplest method of studying dispersion. It is the difference between the highest and the lowest values in a series.
$$ Range = L - S $$
where L= largest item; S = smallest item.
The relative measure corresponding to range, called the coefficient of range is obtained by applying the following formula:
$$ Coefficient \,of \,Range \,= \,{{\frac{L - S }{L + S}}} $$
Individual Series
Table 6.2 | |
---|---|
Year | Profit (in 000 Rs) |
1985 | 40 |
1986 | 30 |
1987 | 80 |
1988 | 100 |
1989 | 115 |
1990 | 85 |
1991 | 210 |
1992 | 230 |
Here L = 230; S = 30.
Range = 230 - 30 = 200
$$ Coefficient \,of \,Range \,= \,{{\frac{L - S }{L + S}}} $$ $$ = \,{{\frac{230 - 30 }{230 + 30}}} $$ $$ = \,{{\frac{200 }{260}}} $$ $$ = \,{{0.77}} $$
Discrete Series
Table 6.3 | |
---|---|
Size | Frequency |
5 | 7 |
10 | 8 |
15 | 12 |
20 | 16 |
25 | 21 |
30 | 17 |
35 | 12 |
40 | 4 |
$$ Range = L - S $$
Here L = 40; S = 5.
Range = 40 - 5 = 35
$$ Coefficient \,of \,Range \,= \,{{\frac{L - S }{L + S}}} $$ $$ = \,{{\frac{40 - 5 }{40 + 5}}} $$ $$ = \,{{\frac{35}{45}}} $$ $$ = \,{{0.78}} $$
Continuous Series
For continuous series, range is calculated either by subtracting the lower limit of the lowest class from the upper limit of the highest class or by subtracting the mid-value of the lowest class from the midvalue of the highest class.
Table 6.4 | |
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Daily Wage | Number of Workers |
80 - 100 | 12 |
100 - 120 | 18 |
120 - 140 | 24 |
140 - 160 | 27 |
160 - 180 | 32 |
180 - 200 | 20 |
Here L = 200; S = 80.
Range = 200 - 80 = 120
$$ Coefficient \,of \,Range \,= \,{{\frac{L - S }{L + S}}} $$ $$ = \,{{\frac{200 - 80 }{200 + 80}}} $$ $$ = \,{{\frac{120}{280}}} $$ $$ = \,{{0.43}} $$
Table 6.5 | |
---|---|
Class midpoints | Frequency |
2 | 3 |
5 | 5 |
8 | 6 |
11 | 8 |
14 | 6 |
17 | 4 |
20 | 1 |
Here L = 20; S = 2.
Range = 20 - 2 = 18
$$ Coefficient \,of \,Range \,= \,{{\frac{L - S }{L + S}}} $$
$$ = \,{{\frac{20 - 2 }{20 + 2}}} $$
$$ = \,{{\frac{18}{22}}} $$
$$ = \,{{0.82}} $$
MERITS OF RANGE
- Easy to compute.
- It gives the maximum spread of data.
- Easy to understand.
DEMERITS OF RANGE
- It is affected greatly by sampling fluctuations.
- It is not based on all the observations.
- It cannot be used in case of open-end distribution.