Coefficient of Variation Formula:
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The Coefficient of Variation (CV) is a standardized measure of dispersion of a probability distribution. It shows the extent of variability in relation to the mean of the population.
The calculator uses the CV formula:
Where:
Explanation: The CV is calculated by dividing the standard deviation by the mean and multiplying by 100 to express it as a percentage.
Details: CV is particularly useful when comparing the degree of variation from one data series to another, even if the means are drastically different from each other.
Tips: Enter standard deviation and mean values. Both must be positive numbers. The result is expressed as a percentage.
Q1: When is CV most useful?
A: CV is most useful when comparing variability between datasets with different units or widely different means.
Q2: What is considered a good CV value?
A: It depends on the field, but generally, lower CV indicates less variability relative to the mean. Below 10% is often considered low variability.
Q3: Can CV be negative?
A: No, because standard deviation and mean are always positive in this calculation.
Q4: What are limitations of CV?
A: CV should not be used for data with a mean close to zero, as it can produce misleadingly high values.
Q5: How does CV compare to standard deviation?
A: While standard deviation measures absolute variability, CV measures relative variability, making it unitless and comparable across different scales.