Positively skewed distribution

Alex_1

Active Member
A positively skewed distribution has a "fat" right tail (but not left tail). If the variance is large (larger) as a direct consequence of exhibiting a fat right tail depends (in my opinion) on the mean of the distribution and can't/shouldn't be phrased as a mathematical law.

You can also refer to the following link:
http://vudlab.com/fat-tails.html

Quote: "Fat tails don't mean more variance; just different variance. For a given variance, a higher chance of extreme deviations implies a lower chance of medium ones."

[very interesting reference to the author Nassim Taleb]

Is this a question from a sample/mock exam? If so could you indicate from which exam exactly or what the answer options are? Thanks!
 
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