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  1. The coefficient of variation (CV) is defined as the ratio of the standard deviation to the mean , [1] It shows the extent of variability in relation to the mean of the population.

  2. The coefficient of variation (CV) is a relative measure of variability that indicates the size of a standard deviation in relation to its mean. It is a standardized, unitless measure that allows you to compare variability between disparate groups and characteristics. It is also known as the relative standard deviation (RSD).

  3. Mar 19, 2024 · The coefficient of variation (CV) is a statistical measure of the relative dispersion of data points in a data series around the mean. It represents the ratio of the standard deviation to the...

  4. Coefficient of variation is a relative measure of dispersion that is used to determine the variablity of data. It is expressed as a ratio of the standard deviation to the mean multiplied by 100. It is a dimensionless quantity. The formula for the coefficient of variation is given as [ σ μ σ μ * 100] or [ s μ s μ * 100].

  5. The coefficient of variation (relative standard deviation) is a statistical measure of the dispersion of data points around the mean. The metric is commonly used to compare the data dispersion between distinct series of data.

  6. Jan 16, 2021 · Coefficient of variation is the standard deviation divided by the mean; it summarizes the amount of variation as a percentage or proportion of the total. It is useful when comparing the amount of variation for one variable among groups with different means, or among different measurement variables.

  7. Aug 27, 2021 · Also known as relative standard deviation, coefficient of variation is a statistical concept that accounts for relative variability in data sets. Specifically, it indicates the size of a standard deviation to its mean.

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