Interpreting Coefficient of Variation?


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
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
It's a way of obtaining a measure of dispersion that is dimension-free.
( ¦kō·ə′fish·ənt əv ′ver·ē′ā·shən ) (statistics) The ratio of the standard deviation of a distribution
Explore this Topic
A coefficient of variation is a statistical measure which measures the diffusion of a probability distribution. The measure corresponds to the ratio of the standard ...
RDW-SD stands for the standard deviation of the red cell distribution width, while RDW-CV stands for the coefficient variation of the red cell distribution width ...
The color buff is a fleshy tone. It is a very light beige color. There are many variations and interpretations of the color buff. From a nude beige to a buttery ...
About -  Privacy -  Careers -  Ask Blog -  Mobile -  Help -  Feedback  -  Sitemap  © 2014