what is the formula of coefficient of variation
Coefficient of variation The coefficient of variation (CV) is defined as the ratio of the standard deviation     σ  {\displaystyle \ \sigma }  to the mean     μ  {\displaystyle \ \mu } :[1]   c  v  =  σ μ  .  {\displaystyle c_{\rm {v}}={\frac {\sigma }{\mu }}.}  It shows the extent of variability in relation to the mean of the population. The coefficient of variation should be computed only for data measured on a ratio scale, as these are the measurements that allow the division operation. The coefficient of variation may not have any meaning for data on an interval scale.[2] For example, most temperature scales (e.g., Celsius, Fahrenheit etc.) are interval scales with arbitrary zeros, so the coefficient of variation would be different depending on which scale you used. On the other hand, Kelvin temperature has a meaningful zero, the complete absence of thermal energy, and thus is a ratio scale. While the standard deviation (SD) can be meaningfully derived using Kelvin, Celsius, or Fahrenheit, the CV is only valid as a measure of relative variability for the Kelvin scale because its computation involves division.