# Alternatives to Coefficient of variation

I have a set of temperature datasets all from different products. I wish to calculate the variation in the products. I have tried using coefficient of variation. But because the temperature data varies from say 20-40 deg C, the mean would be high and standard deviation low, the coefficient of variation is very low. I wish to know an alternative in this case to give a proper representation.

It would be great if you can help.

Ex. 27.2 30.4 30.4 31.0 31.9 35.2
Mean:31.0;
SD=2.6; CV=8.4

• Dear Keerthi, maybe you can explain why you think the fact that the coefficient of variation is low is a problem? Also, usually, the coefficient of variation is defined as $\dfrac{\sigma}{\mu}$, so in your example would be $\dfrac{2.6}{31} = 0.083$. For some reason, you seem to use that value multiplied by 100. Also, the wikipedia page on coefficient of variation cautions using them with interval data, the example use temperatures. Commented Aug 19, 2016 at 8:09
• Thank you Vernet! yes i am multiplying it by 100 to just give it as a percentage. I have used the same method to calculate the CV for precipitation as well.. and in my case the CV for precipitation should be lower than that for temperature. Which I am unable to achieve. Commented Aug 20, 2016 at 3:47