Coefficient Of Variation Interpretation. The coefficient of variation (cv) is the ratio of the standard deviation to the mean. Qms 102 coefficient of variation in the same way we can remove the “effect” of the mean on the standard deviation by dividing by the mean and expressing the standard deviation as a proportion of the mean.
It is calculated as follows: The coefficient of variation (and an alternative) sometimes we want to compare the spread of a distribution to its mean. = comparaison avec l'écart type avantages.
In investments, the coefficient of variation helps you to determine the volatility, or risk, for the amount of return you can expect from your investment.
In the field of statistics, we typically use different formulas when working with population data and sample data. For example, the coefficient of variation for blood pressure can be compared with the coefficient of variation for pulse rate. The coefficient of variation (cv) refers to a statistical measure of the distribution of data points in a data series around the mean. Interpreting the coefficient of variation.