Talk:Verify distribution uniformity/Naive: Difference between revisions

No edit summary
Line 10:
:"...check bin counts are within +/- delta % of repeats/bincount" (From the Python example).
:I kinda knew that people with more experience probably wouldn't do it that way, (See the Chi-square comment above); but thought that if you took a fixed sample of a million, any fitness metric should be able to be translated into this form, so went with it. I have no idea of what is good-enough, and also didn't want to parrot some figure of fitness that I did not understand. --[[User:Paddy3118|Paddy3118]] 05:54, 9 August 2009 (UTC)
 
:: Of course a random number checker like this will report a perfect random distribution if your "RNG" returns the sequence "1234567123456712345671234567...". BTW, shouldn't the function also be given info about what values are to expected? Because if a random number generator intended to emulate a normal six-sided dice actually returns a flat distribution of numbers from 1 to 7 or from 1 to 5, it's certainly not very good :-) --[[User:Ce|Ce]] 21:26, 24 September 2009 (UTC)
 
== Renamed ==
973

edits