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Coefficient of Variation

Created:September 2, 2024

This Coefficient of Variation Calculator helps you analyze the relative variability of your data distribution. It calculates the coefficient of variation (CV), which is the ratio of the standard deviation to the mean expressed as a percentage. The CV helps you compare the degree of variation between datasets with different units or means. For example, you can compare the consistency of test scores across different subjects, analyze the volatility of stock returns, or evaluate the precision of measurement systems.

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Coefficient of Variation (CV)

Definition

The Coefficient of Variation (CV) is a standardized measure of dispersion that expresses variability relative to the mean. It's particularly useful when comparing datasets with different units or widely different means.

Formula

Sample Coefficient of Variation:

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

Population Coefficient of Variation:

CV=σμ×100%CV = \frac{\sigma}{\mu} \times 100\%

Where:

  • ss = sample standard deviation
  • xˉ\bar{x} = sample mean
  • σ\sigma = population standard deviation
  • μ\mu = population mean

Example

Consider two datasets:

Dataset A (temperatures in °C): 20,22,21,23,1920, 22, 21, 23, 19

Dataset B (heights in cm): 160,165,162,168,155160, 165, 162, 168, 155

Dataset A:

Mean=21 °CStandard Deviation=1.58 °CCV=1.5821×100%=7.52%\begin{align*} \text{Mean} &= 21\text{ °C} \\ \text{Standard Deviation} &= 1.58\text{ °C} \\ CV &= \frac{1.58}{21} \times 100\% = 7.52\% \end{align*}

Dataset B:

Mean=162 cmStandard Deviation=4.85 cmCV=4.85162×100%=2.99%\begin{align*} \text{Mean} &= 162\text{ cm} \\ \text{Standard Deviation} &= 4.85\text{ cm} \\ CV &= \frac{4.85}{162} \times 100\% = 2.99\% \end{align*}

Although Dataset B has a larger standard deviation, its CV is smaller, indicating less relative variability.

Key Points

  • Only applicable to ratio scale data with positive values and non-zero mean
  • Useful for comparing variability between datasets with different units or means
  • Generally expressed as a percentage

Common Interpretations

CV < 10%: Very low variability relative to the mean
10% ≤ CV < 20%: Low variability relative to the mean
20% ≤ CV < 30%: Moderate variability relative to the mean
CV ≥ 30%: High variability relative to the mean

Limitations

  • Not meaningful for interval or ordinal scale data
  • Cannot be calculated for data with zero mean or negative values
  • Sensitive to outliers, like other measures based on mean and standard deviation

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