I found this on Wikipedia:
http://en.wikipedia.org/wiki/Geometr...dard_deviation
Hello,
I have a dataset that is log-normally distributed and I would like to know how to accurately calculate the CV and Standard Deviation. To get the mean (or rather the geometric mean) I first transform the data, calculate the mean, and then un-transform the data. It is my understanding, however, that the same can not be done for the CV and STD. Do you have any suggestions?
Thank you
I found this on Wikipedia:
http://en.wikipedia.org/wiki/Geometr...dard_deviation
Thanks for the link. Any thoughts on the CV?
Wild guess: geometric std dev divided by geometric mean?
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