26 ms·

Also, doesn't the +/- sigma rule only apply to a normal (gaussian) distributions?

• FabHK 10y ago
  Yes, that rule: 31% outside +/- 1 standard deviation ("2 sigma"), 5% outside +/- 2 standard deviations ("4 sigma"), 0.3% outside +/- 3 standard deviations ("6 sigma"), etc. However, the more general Chebyshev inequality states that for any distribution, you have at most 1/k^2 outside +/- k standard deviations, so (at most): 100% outside +/- 1 standard deviation, 25% outside +/- 2 standard deviations, 9% outside +/- 3 standard deviations, etc. https://en.wikipedia.org/wiki/Chebyshev%27s_inequality https://en.wikipedia.org/wiki/Chebyshev%27s_inequality