Coefficient of variation in statistics. The coefficient of variation cv is a relative measure of variability that indicates the size of a standard deviation in relation to its mean.

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### Variance standard deviation.

**Coefficient of variation meaning in statistics**. The coefficient of variation cv is a statistical measure of the relative dispersion of data points in a data series around the mean. Coefficient of variation is a measure of the ratio of the standard deviation to the mean. In finance the coefficient of variation allows investors to.

The metric is commonly used to compare the data dispersion between distinct series of data. Unlike the standard deviation. It is often expressed as a percentage and is defined as the ratio of the standard deviation.

A coefficient of variation cv can be calculated and interpreted in two different settings. Coefficient of variation refers to the statistical measure which helps in measuring the dispersion of the various data points in the data series around mean and is calculated by dividing the standard deviation by mean and multiplying the resultant with 100. In probability theory and statistics the coefficient of variation cv also known as relative standard deviation rsd is a standardized measure of dispersion of a probability distribution or frequency distribution.

Coefficient of variation noun statistics a measure of the relative variation of distribution independent of the units of measurement. It is a standardized unitless measure that allows you to compare variability between disparate groups and characteristics. Coefficient of variation formula.

The coefficient of variation relative standard deviation is a statistical measure of the dispersion of data points around the mean.

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