Coefficient of variation formula
CV is unitless, so it is useful for comparing relative dispersion across measurements with different units or means. This calculator reports a positive percentage by using the absolute mean.
A coefficient of variation calculator measures relative spread by dividing standard deviation by the absolute mean. Enter raw data or summary statistics to get CV, also called relative standard deviation (RSD), with the formula shown.
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Coefficient of variation / RSD
Coefficient of variation
4.7063%
Low relative variability
Mean
19.0875
Standard deviation
0.898312
Variance
0.806964
Input basis
8 values
Formula substitution
CV = 0.898312 / |19.0875| x 100 = 4.7063%
Values are tightly clustered relative to the magnitude of the mean.
CV is unitless, so it is useful for comparing relative dispersion across measurements with different units or means. This calculator reports a positive percentage by using the absolute mean.
Coefficient of variation (CV) measures relative variability by dividing standard deviation by the absolute mean and multiplying by 100. It expresses spread as a percentage of the mean, which helps compare datasets measured on different scales.
Calculate the mean and standard deviation, divide the standard deviation by the absolute mean, then multiply by 100. Use sample standard deviation for a sample and population standard deviation when your data contains the entire population.
Yes. Relative standard deviation (RSD) is another name for coefficient of variation when the ratio is expressed as a percentage. Both use standard deviation divided by the absolute mean times 100.
A lower CV means less spread relative to the mean, but there is no universal good value. Acceptable variability depends on the field, measurement process, and decision being made, so compare against domain standards or similar datasets.
CV is undefined when the mean is zero. This calculator accepts a negative mean by using its absolute value in the denominator, but CV can be misleading for interval scales or data whose mean is near zero.
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