Coefficient of Variation Formula:
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The Coefficient of Variation (CV) is a standardized measure of dispersion of a probability distribution or frequency distribution. It is often expressed as a percentage and is defined as the ratio of the standard deviation to the mean.
The calculator uses the Coefficient of Variation formula:
Where:
Explanation: The CV shows the extent of variability in relation to the mean of the population. It's useful for comparing the degree of variation between different data sets.
Details: The coefficient of variation is particularly useful when you want to compare results from different tests or experiments that have different measurement scales or units.
Tips: Enter standard deviation and mean in the same units. The mean must be greater than zero. The result is expressed as a percentage.
Q1: When should I use CV instead of standard deviation?
A: Use CV when you need to compare variability between data sets with different units or widely different means.
Q2: What is a good CV value?
A: Generally, a CV < 15% is considered low variability, 15-30% moderate, and >30% high variability, but this depends on the field of study.
Q3: Can CV be negative?
A: No, since standard deviation and mean are always positive in the CV calculation, CV is always non-negative.
Q4: What are the limitations of CV?
A: CV shouldn't be used for interval scales that don't have a true zero point (like temperature in Celsius).
Q5: How is CV different from variance?
A: Variance is the square of standard deviation and isn't normalized by the mean, making it less suitable for comparing different data sets.