Step 1: Understand measures of dispersion.
Measures of dispersion describe the spread or variability of data. They are broadly classified into:
Absolute measures
and
\[
\text{Relative measures}.
\]
Step 2: Recall absolute measures of dispersion.
Absolute measures are expressed in the same units as the data. Examples include:
Range, Mean Deviation, Quartile Deviation, Standard Deviation
Thus:
Range
is an absolute measure.
Mean Absolute Deviation
is an absolute measure.
Quartile Deviation
is also an absolute measure.
Step 3: Recall relative measures of dispersion.
Relative measures are unit-free ratios used for comparison between datasets.
The coefficient of variation is defined as
\[
CV=\frac{\sigma}{\bar{x}}\times100
\]
where
\[
\sigma=\text{standard deviation}
\]
and
\[
\bar{x}=\text{mean}.
\]
Since it is dimensionless, it is a relative measure of dispersion.
Step 4: Analyze the options.
(A) Range: Absolute measure. Incorrect.
(B) Mean Absolute Deviation about Mean: Absolute measure. Incorrect.
(C) Coefficient of Variation: Relative measure. Correct.