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 shows the extent of variability in relation to the mean of the population.
The calculator uses the CV formula:
Where:
Explanation: The CV is useful because the standard deviation of data must always be understood in the context of the mean of the data.
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 in the same units. Both values must be positive (mean must be greater than zero).
Q1: What does a high CV indicate?
A: A high CV indicates a high level of dispersion around the mean. It means the data is more variable relative to the mean.
Q2: When is CV most useful?
A: CV is most useful when comparing variability between datasets with different units or widely different means.
Q3: What are typical CV values?
A: In most applications, a CV < 15% is considered low variability, 15-30% moderate, and >30% high variability.
Q4: Can CV be negative?
A: No, CV is always positive since standard deviation and mean are always positive in this calculation.
Q5: What are limitations of CV?
A: CV should not be used for interval scale data that can take negative values or when the mean is close to zero.