Coefficient Of Variation Meaning
Analyzing a single variable and interpreting a model.
Coefficient of variation meaning. Another way to describe the variation of a test is calculate the coefficient of variation, or cv. The coefficient of variation (cv) is the sd divided by the mean. The standard deviation of returns from an investment option is to be divided by the mean annual return of that option, to arrive at the coefficient of variation.
Coefficient of variation is a measure of relative variability of data with respect to the mean. It represents a ratio of the standard deviation to the mean, and can be a useful way to compare data series when means are different. The metric is commonly used to compare the data dispersion between distinct series of data.
In the field of statistics, we typically use different formulas when working with population data and sample data. A number or symbol multiplied with a variable or an unknown quantity in an algebraic term, as 4 in the term 4 x, or x in the term x. The cv expresses the variation as a percentage of the mean, and is calculated as follows:
The standard formulation of the cv, the ratio of the standard deviation to the mean, applies in the single variable setting. Investors use it to determine whether the expected return of the investment is worth. A coefficient of variation can be used to record changes in data over time and aid in business decisions.
The coefficient of variation (relative standard deviation) is a statistical measure of the dispersion of data points around the mean. When the value of the coefficient of variation is lower, it means the data has less variability and high stability. Variance, standard deviation, and coefficient of variation.
Coefficient of variation is a measure of the ratio of the standard deviation to the mean. Lab medicine the standard deviation divided by the mean, expressed as a percentage, used to evaluate and compare methodologies and instruments. In finance, the coefficient of variation allows investors to determine how much volatility, or risk, is assumed in comparison to the amount of return expected from investments.