Interpreting Coefficient of Variation?

Answer

Coefficient of variation is the statistics tool for data analysis specifically set to find out the values of number of inputs, mean, standard deviation and variance coefficient. Coefficient of Variation is abbreviated as CV, Cv and it's formula is Cv = Standard Deviation.
Q&A Related to "Interpreting Coefficient of Variation?"
In Statistics, coefficient of variance is a measure of dispersion of a probability distribution, which is denoted by CV. It is the ratio of Standard deviation to mean. For more information
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1. Calculate the sample mean, using the formula ? = ?x_i / n, where n is the number of data point x_i in the sample, and the summation is over all values of i. Read i as a subscript
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It's a way of obtaining a measure of dispersion that is dimension-free.
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( ¦kō·ə′fish·ənt əv ′ver·ē′ā·shən ) (statistics) The ratio of the standard deviation of a distribution
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