<P> 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 . It is often expressed as a percentage , and is defined as the ratio of the standard deviation σ ( \ displaystyle \ \ sigma ) to the mean μ ( \ displaystyle \ \ mu ) ( or its absolute value , μ ( \ displaystyle \ mu ) ) . The CV or RSD is widely used in analytical chemistry to express the precision and repeatability of an assay . It is also commonly used in fields such as engineering or physics when doing quality assurance studies and ANOVA gauge R&R . In addition , CV is utilized by economists and investors in economic models and in determining the volatility of a security . </P>
<P> 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 . It is often expressed as a percentage , and is defined as the ratio of the standard deviation σ ( \ displaystyle \ \ sigma ) to the mean μ ( \ displaystyle \ \ mu ) ( or its absolute value , μ ( \ displaystyle \ mu ) ) . The CV or RSD is widely used in analytical chemistry to express the precision and repeatability of an assay . It is also commonly used in fields such as engineering or physics when doing quality assurance studies and ANOVA gauge R&R . In addition , CV is utilized by economists and investors in economic models and in determining the volatility of a security . </P>
what does the coefficient of variation tell us
what does the coefficient of variation tell us
dispersion of a probability distribution or frequency distribution
dispersion of a probability distribution or frequency distribution