Variation ratio

The variation ratio is a simple measure of statistical dispersion in nominal distributions; it is the simplest measure of qualitative variation.

It is defined as the proportion of cases which are not in the mode category:

:\mathbf{v} := 1 - \frac{f_m}{N},

where fm is the frequency (number of cases) of the mode, and N is the total number of cases. While a simple measure, it is notable in that some texts and guides suggest or imply that the dispersion of nominal measurements cannot be ascertained. It is defined for instance by {{Harv|Freeman|1965}}.

Just as with the range or standard deviation, the larger the variation ratio, the more differentiated or dispersed the data are; and the smaller the variation ratio, the more concentrated and similar the data are.

An example

A group which is 55% female and 45% male has a proportion of 0.55 females (the mode is 0.55), therefore its variation ratio is

:\mathbf{v} := 1 - \frac{0.55}{1}=0.45,

Similarly, in a group of 100 people where 60 people like beer 25 people like wine and the rest (15) prefer cocktails, the variation ratio is

:\mathbf{v} := 1 - \frac{60}{100}=0.4,

See also

References

  • {{Citation

|last=Freeman

|first=Linton C.

|title=Elementary Applied Statistics

|publisher=John Wiley and Sons

|location=New York

|year=1965

|pages=40–43

}}

Category:Statistical deviation and dispersion

Category:Statistical ratios

Category:Summary statistics for categorical data