Risk glossary

 

Moments [of a statistical distribution]

The shape of any distribution can be described by its various ‘moments’. The first four are:

1) The mean, which indicates the central tendency of a distribution.

2) The second moment is the variance, which indicates the width or deviation.

3) The third moment is the skewness, which indicates any asymmetric ‘leaning’ to either left or right.

4) The fourth moment is the Kurtosis, which indicates the degree of central ‘peakedness’ or, equivalently, the ‘fatness’ of the outer tails.

* see also mean

  • LinkedIn  
  • Save this article
  • Print this page  

You need to sign in to use this feature. If you don’t have a Risk.net account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an indvidual account here: