Graduate Standard error of the coefficient of variation

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The discussion centers on the standard error of the coefficient of variation (CV) specifically in the context of an exponential distribution. A formula for calculating the standard error is provided, which involves the CV and the number of observations. Participants express uncertainty about the applicability of this formula to the exponential distribution. Clarification on whether the formula is valid for this distribution is sought. The conversation highlights the need for further exploration of statistical principles related to the coefficient of variation.
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What is the standard error of the coefficient of variation in an exponential distribution?
What is the standard error of the coefficient of variation in an exponential distribution?
 
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What do you think it is?
 
hutchphd said:
What do you think it is?
On

https://influentialpoints.com/Training/standard_error_of_coefficient_of_variation.htm

I read:
$$SE(CV) \, = \, \frac{CV}{\sqrt{2 \, n}} \, \sqrt{1+2 \, \left(\frac{CV}{100}\right) ^2}$$
where ##SE## is the standard error, ##CV## is the coefficient of variation and ##n## is the number of observations.
However, I don't know if this formula holds for the exponential distribution.
 
First trick I learned this one a long time ago and have used it to entertain and amuse young kids. Ask your friend to write down a three-digit number without showing it to you. Then ask him or her to rearrange the digits to form a new three-digit number. After that, write whichever is the larger number above the other number, and then subtract the smaller from the larger, making sure that you don't see any of the numbers. Then ask the young "victim" to tell you any two of the digits of the...

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