Marc is correct.

The coefficient of variation is defined as the standard deviation divided by the mean as a percent [(s/Xbar)*100]. It is used primarily when comparing two distributions that are either:

- The data are different units, or
- The data are in the same units, but the means are far apart.

The coefficient of variation has no units. It measures relative variability, that is, variability relative to the magnitude of the data.

<font color=#c001c0><blockquote>…what is the cut off value of coefficient of variation (%) , above which the variation is considered to be significant ?????</blockquote></font>

Since CV is used based upon the above uses, CV in and of itself is not significant. Significance applies when comparing two or more variances. Typically, when determining significance for two variances of different units, some method would need to be applied to convert both variances to the same unit.

<font color=#c001c0><blockquote>At what coefficient of variation the data is considered to be homogenous???????</blockquote></font>

Coefficient of variation does not determine homogeneity.

Ken K.,

Yea, I use it some, but

**rarely**.

Regards,

Don

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I was better but I got over it.