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Coefficient of Variation
The standard deviation discussed above is an absolute measure of dispersion. The corresponding relative measure is known as the coefficient of variation. This relative measure of dispersion based upon standard deviation is also called coefficient of standard deviation.
It is used in such problems where we want to compare the variability, homogeneity, stability, uniformity and consistency of two or more series. That series for which the coefficient of variation is greater is said to be more variable or conversely less consistent, less uniform, less stable or less homogeneous. On the other hand, the series for which the Coefficient of Variation is less, is said to be less variable or more consistent, more uniform, more stable or more homogeneous.
Correlation Analysis Correlation Analysis is performed to measure the degree of association between two variables. The measure is called coefficient of correlation. The coeffic
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Root Mean Square Deviation The standard deviation is also called the ROOT MEAN SQUARE DEVIATION. This is because it is the ROOT (Step 4) of the MEAN (Step 3) o
Factor analysis (FA) explains variability among observed random variables in terms of fewer unobserved random variables called factors. The observed variables are expressed in
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