Coefficient Of Variation Example
For the iq example, the variance = 14.4 2 = 207.36.
Coefficient of variation example. In other words, the standard deviation is 30% of the mean. Interpreting the coefficient of variation. The coefficient of variation can be reported as a percentage.
By using the root mean square approach: Compute coefficient of variation for the following frequency distribution. Interpreting the coefficient of variation.
1 2 meaning of the coefficient of variation. For example, if we have a standard deviation of 1.5 and a mean of 5, the ratio of the standard deviation to the mean is 0.3. Variance, standard deviation, and coefficient of variation.
A coefficient of variation (cv) is a statistical measure of the dispersion of data points in a data series around the mean. So, now that all of the math has been calculated what does it really mean? Since coefficient of variation is typically represented by a percent we will say the cv is 17%.
It is similar to standard deviation since that is also used as a measure of risk but the difference is that the coefficient of variation is a better indicator of relative risk. 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. The resulting answer is the coefficient of variation.
The coefficient of variation (cov) is a measure of relative event dispersion that's equal to the ratio between the standard deviation and the mean. Coefficient of variation of one data set is lower than the coefficient of variation of other data set, then the data set with lower coefficient of variation is more consistent than the other. Erin, the coefficient of variation of any value could be dictated by different sources of variation , for example, sampling methods , processing methods, procedural methods etc ,.