coefficient of variation

• The coefficient of variation (CV) is defined as the ratio of the Standard Deviation (σ) to the Mean (μ)

• The data with lesser coefficient of variation is more consistent or stable than the other data.

• Comparison of two data in terms of measures of central tendencies and dispersions in some cases will not be meaningful, because the variables in the data may not have same units of measurement.

• Coefficient of variation of a data is obtained by dividing the standard deviation by the arithmetic mean.

• It is usually expressed in terms of percentage.

• This concept is suggested by one of the most prominent Statistician [[Karl Pearson]].

[!CoEfficient of Variation] $$CV = \frac {\sigma}{\mu}$$ $\sigma - Population\ Standard\ Deviations$ $\mu - Population\ Mean$