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Coefficient of variation

Coefficient of variation expresses the standard deviation as a percentage of the mean, making relative variability comparable across datasets with very different magnitudes or units.

Also known asCV

ByHoang TruongUpdated

See it move

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A side-by-side comparison contrasts a large logistics firm and a small rival on the coefficient of variation. The large firm delivers a mean of 5,000 parcels per week with a standard deviation of 200, giving a CV of 4%. The small rival averages only 80 parcels per week with a standard deviation of 16 but a CV of 20%, making it five times more volatile in relative terms despite its far smaller absolute standard deviation.

Where it fits
TopicDescriptive StatisticsPeripheralSubjectData Analysis & StatisticsPeripheral

The formula

LaTeX
CV=sxˉ×100CV = \frac{s}{\bar{x}} \times 100

Variables

sample standard deviation
sample mean

Result expressed as a percentage. Meaningful only when the mean is strictly positive. Higher CV indicates greater relative variability.

Check yourself

PracticeCORE

Firm A dispatches a mean of 1,200 parcels per week with a standard deviation of 60. Firm B dispatches a mean of 80 parcels per week with a standard deviation of 12. A logistics manager wants to compare the relative variability of the two firms' weekly volumes. What do the coefficients of variation reveal?

Select an answer to check your understanding.
Coefficient of Variation (CV) — Relative Dispersion