It tells you which data set is your best set of results. With a higher coefficient of variation an assumption of normallly distributed data can be assumed. An inferences can be made from that.
http://answers.yahoo.com/question/index?qid=20060830072...
This is useful when two distribution have significantly different means. Lets say you wanted to know if steel balls from ball bearings are more perfect in spherical nature than the earth itself; in this case the distribution of the radius o...
http://answers.yahoo.com/question/index?qid=20070207111...
In this paper, we obtain bounds for the population coefficient of variation (CV) in Bernoulli, Discrete Uniform, Normal and Exponential distributions. We also show that the sample coefficient of variation (cv) is not an accurate estimator o...
http://ideas.repec.org/p/pra/mprapa/6106.html
The Standard deviation is an absolute measure of risk while the coefficent of variation is a relative measure. The coefficent is more useful when using it in terms of more than one investment. The reason being that they have different retur...
http://wiki.answers.com/Q/Which_is_a_better_measurement...
The Coefficient of Variation = Standard Deviation / Mean (mean is the same as the average). The Coefficient of Variation is a measure of dispersion around the mean (average). The theory is that the valuation multiples with the lowest Coeffi...
http://www.prattsstats.com/pdf/PublicCompany-FAQ.pdf
goals of a team are as follow: number of goals(x) number of matches(f). 0 17 1 9 2 ...
http://www.blurtit.com/q784572.html
A statistical measure of the dispersion of data points in a data series around the mean. It is calculated as follows: The coefficient of variation represents the ratio of the standard deviation to the mean, and it is a useful statistic for...
http://investopedia.com/terms/c/coefficientofvariation....