Statistics & Probability

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Coefficient of Variation Calculator.

Calculate relative sample variability as a percentage.

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Set your values

Results update as you type.

Mean: 10.5

Mean

10.500000
Standard deviation: 1.290994

Standard deviation

1.290994
Coefficient of variation: 0.122952

Coefficient of variation

0.122952
Percent: 12.295185

Percent

12.295185

Results update automatically as you type.

Use Cases

Compare variability across datasets

Use the CV to compare the relative dispersion of two or more datasets that may have different units or vastly different means, such as test scores vs. income.

Example: Compare the CV of monthly sales in dollars with the CV of customer satisfaction scores (1-10).

Assess consistency in measurements

In quality control or research, a low CV indicates consistent measurements or processes, while a high CV signals inconsistency.

Example: Check the CV of repeated lab measurements to ensure precision.

Frequently Asked Questions

What is the coefficient of variation (CV)?
The coefficient of variation is the ratio of the standard deviation to the mean, expressed as a percentage. It measures relative variability, allowing comparison of dispersion between datasets with different units or means.
How do I use this calculator?
Enter your numeric sample values in the 'Sample values' field, separated by commas or spaces. The calculator will compute the mean, standard deviation, and coefficient of variation for your data.
What does a high CV indicate?
A high CV indicates greater variability relative to the mean, meaning the data points are spread out widely compared to the average. A low CV suggests the data are tightly clustered around the mean.

Tips & Common Mistakes

Tips

  • Ensure your sample values are numeric and separated by commas or spaces for accurate calculation.
  • The CV is only meaningful when the mean is not zero or negative; interpret with caution in such cases.
  • Use the CV to compare variability between datasets with different units, as it is unitless.
  • For a quick check, a CV below 15% is often considered low variability, but context matters.

Common Mistakes to Avoid

  • Including non-numeric characters (like $ or %) in the sample values, which can cause errors.
  • Using the CV when the mean is close to zero, leading to extremely large or undefined values.
  • Confusing the coefficient of variation with the standard deviation alone; CV is relative to the mean.

Last updated: August 13, 2026