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I'm not designing the experience. Nor does telling you what a particular distribution would indicate if assumed, imply that I have assumed the distribution. Ma
by totalZero 9y ago
I'm not designing the experience. Nor does telling you what a particular distribution would indicate if assumed, imply that I have assumed the distribution.
Mathematically we would expect height to be distributed in a somewhat gaussian fashion due to the central limit theorem. Therein lies its relevance. However, nobody is 70 feet tall (yet!), so it would be fair to argue that the tails are characterized differently by a gaussian distribution than by the "true" distribution for height (which would probably divert some of that probability mass from the far tails to the near tails).
Still, it is quite misplaced to talk about 50% of the passengers when the discussion is about substantial outliers.
Just giving you some information that will help you use more applicable axia in the future.
Signed,
Johnny Factseed
- nightski 9y agoThat's not how the CLT works. It does not mean every random variable is Gaussian.