Relative Measures

IMPORTANT

Relative Measures: Overview

This Topic covers sub-topics such as Coefficient of Variation in Statistics, Measures of Relative Dispersion and, Merits and Demerits of Coefficient of Variation

Important Questions on Relative Measures

EASY
IMPORTANT

The coefficient of variation (C.V.) and the mean of a distribution are respectively 75 and 44. Then the standard deviation of the distribution is

MEDIUM
IMPORTANT

If the numbers are 5,1,8,7,2, then the coefficient of variation is

EASY
IMPORTANT

The mean of a distribution is 14 and the standard deviation is 5. What is the value of the coefficient of variation?

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For a given distribution the arithmetic mean is 15 and the standard deviation is 9 then the coefficient of variation is equal to

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The circular test is satisfied by

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The time reversal test is satisfied by

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A coefficient near +1 indicates tendency for the larger values of one variable to be associated with the larger values of the other.

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Rank correlation coefficient lies between

HARD
IMPORTANT

The distribution, for which the coefficient of variation is less, is _____ consistent.

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Coefficient of variation is a relative measure of

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Coefficient of variation is independent of the unit of measurement.

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Karl Pearson's measure gives

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 The coefficient of variation is independent of units.

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The following statement is the demerit of coefficient of variation. 

The coefficient of variation cannot be used to find the intervals of the mean.

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As the coefficient of variation approaches infinity, the value of mean approaches zero.

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Define the coefficient of variation and list all the demerits of calculating the coefficient of variation.

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Define the coefficient of variation and list all the merits of calculating the coefficient of variation.

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The coefficient of correlation when the coefficient of regressions are 0.4 and 1.6 is:

EASY
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If the coefficient of variation is 45% and the mean is 12 then its standard derivation is

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If the coefficient of variation and standard deviation are 60 and 21, respectively, then arithmetic mean of distribution is