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# Coefficient of Variation Calculator

Write down data set values for mean or population and the calculator will calculate their coefficient of variation, with the steps shown.

Calculation From

Dataset type

Mean

Standard deviation

Sample (n)

Data For

Dataset type

Sample size (n)

Input outcome as

Number of events

Enter Numbers (Separate Each No. by Comma )

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This coefficient of variation calculator helps to calculate coefficient of variation corresponding to the given date set values. The coefficient of variance is the ratio of the standard deviation to the mean.

For instance, the standard deviation is 17% of the mean, is a coefficient variance. This tool allows you to calculate coefficient of variation of continuous data or binomial data.

## What is Coefficient of Variation (CV)?

The (CV) indicate as a statistical measure of the dispersion of data points in a data series around the mean. According to probability theory and statistics, it is the ratio of the standard deviation to the mean, and also known as relative standard deviation (RSD). In other words, CV is the measure of relative variability.

## Formula of Coefficient of Variation:

As mentioned-above, CV is the ratio of the standard deviation to the mean, so:

CV = σ/ μ

Where;

CV = Coefficient of Variation

σ = Standard Deviation

μ = Mean

Formula to calculate Standard Deviation:

σ = √((∑▒〖(x- μ)^2 〗)/(n-1))

Formula to calculate Mean:

μ = (∑▒x)/n

## Example to Find Coefficient of Variation:

Problem:

Find the coefficient of variance for the samples 62.25, 60.36, 64.28, 61.24, and 66.24 of a population.

Solution:

First, calculate Mean:

Mean = (62.25 + 60.36 + 64.28 + 61.24 + 66.24)/5

= 314.37/5

=62.874

Second, calculate Standard Deviation:

SD =  √( (1/(5 – 1)) * 〖(62.25- 62.874)〗^2 + 〖(60.36- 62.874)〗^2 + 〖(64.28- 62.874)〗^2 + 〖(61.24 – 62.874)〗^2 + 〖(66.24- 62.874)〗^2)

= √( (1/(4) * 〖(-0.624)〗^2 + 〖(-2.514)〗^2 + 〖(1.406)〗^2 + 〖(-1.634)〗^2 + 〖(3.366)〗^2)

= √ ( (1/(4) * (0.389376) + (6.320196) + (1.976836) + (2.669956) + (11.329956)

= √5.67158

SD = 2.38150

Finally, Calculate (CV):

CV = Standard Deviation/ Mean

Put the values into the coefficient of variation equation:

= 2.38150/62.874

CV = 0.037877

References: