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Unformatted text preview: possible for further algebraic treatment.
5. It is less affected by the fluctuations of sampling and hence
6. It is the basis for measuring the coefficient of correlation
1. It is not easy to understand and it is difficult to calculate.
2. It gives more weight to extreme values because the values
are squared up.
3. As it is an absolute measure of variability, it cannot be used
for the purpose of comparison.
166 7.6.7 Coefficient of Variation :
The Standard deviation is an absolute measure of
dispersion. It is expressed in terms of units in which the original
figures are collected and stated. The standard deviation of heights
of students cannot be compared with the standard deviation of
weights of students, as both are expressed in different units, i.e
heights in centimeter and weights in kilograms. Therefore the
standard deviation must be converted into a relative measure of
dispersion for the purpose of comparison. The relative measure is
known as the coefficient of variation.
The coefficient of variation is obtained by dividing the
standard deviation by the mean and multiply it by 100.
Coefficient of variation (C.V) =
If we want to compare the variability of two or more series,
we can use C.V. The series or groups of data for which the C.V. is
greater indicate that the group is more variable, less stable, less
uniform, less consistent or less homogeneous. If the C.V. is less, it
indicates that the group is less variable, more stable, more uniform,
more consistent or more homogeneous.
In two factories A and B located in the same industrial area,
the average weekly wages (in rupees) and the standard deviations
are as follows:
28.5 Standard Deviation
4.5 No. of workers
524 1. Which factory A or B pays out a larger amount as weekly
2. Which factory A or B has greater variability in individual
Given N1 = 476, X1 = 34.5, σ1 = 5
167 N2 = 524, X 2 = 28.5, σ2 = 4.5
1. Total wages pai...
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- Winter '08