I recently started learning statistics. I got problem while learning skewness & kurtosis concept i.e in my search for formulas regarding skewness & kurtosis it is showing two different formulas and don't understand when to use which.

skewness@1 skewness@2

And the same problem for kurtosis is also having when to use lengthy formula and when to use small.

Can any one please give me clarification?

  • $\begingroup$ Check out Joanes, D. N., & Gill, C. A. (1998). Comparing measures of sample skewness and kurtosis. The statistician, 183-189. $\endgroup$ – Anthony Jun 13 '15 at 18:37

Different estimators of skewness and kurtosis result in different equations being used. However, for adequate sample sizes they shouldn't deviate much. This is further discussed here

| cite | improve this answer | |
  • 2
    $\begingroup$ These aren't different definitions: they are different estimators of the same quantity. $\endgroup$ – whuber Jun 12 '15 at 16:28

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Not the answer you're looking for? Browse other questions tagged or ask your own question.