[bitt]

https://qagg.news/siteimages/qaggdropimage2537.png

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anyone know what the below references??

68-95-99.7 rule

[numberonepal]

The Empirical Rule
In statistics, the 68–95–99.7 rule is a shorthand used to remember the percentage of values that lie within a band around the mean in a normal distribution with a width of one, two, and three standard deviations, respectively; more accurately, 68.27%, 95.45% and 99.73% of the values lie within one, two and three standard deviations of the mean, respectively.

[reed13k]

Looks to me like “sigma” statistical measurements. 6sigma is 99.7% good, 3 sigma is roughly 95, I think 68 is 2sigma...but may be 1.

[Sobieski at Kahlenberg Mtn.]

The 68-95-99.7 rule also known as the empirical rule states:

for a normal distribution almost all values lie within 3 standard deviations of the mean.

this means that approximately 68% of the values lie within 1 standard deviation of the mean (or between the mean minus 1 times the standard deviation, and the mean plus 1 times the standard deviation). In statistical notation, this is represented as: μ ± σ.

And approximately 95% of the values lie within 2 standard deviations of the mean (or between the mean minus 2 times the standard deviation, and the mean plus 2 times the standard deviation). The statistical notation for this is: μ ± 2σ.

Almost all (actually, 99.7%) of the values lie within 3 standard deviations of the mean (or between the mean minus 3 times the standard deviation and the mean plus 3 times the standard deviation). Statisticians use the following notation to represent this: μ ± 3σ

[grey_whiskers]

The numbers are the % of total events contained within 1 standard deviation from the mean (68%), two standard deviations (95%), three standard deviations (99.7%), respectively.

So if something is three standard deviations from the mean, there is a 0.3% probability that it happened just by random chance.