Talk:Verify distribution uniformity/Naive

From Rosetta Code
Revision as of 21:55, 8 August 2009 by rosettacode>Sluggo (request for clarification)

We really ought to use a chi-squared test for this, as that can be made self-calibrating. After all, we've got the tools for calculating the Gamma function, needed for generating the related distribution for a single random variable. Too early in the morning for heavy math for me though… —Donal Fellows 06:16, 8 August 2009 (UTC)

After reading your link, and being up early creating the task in the first place (I'm in Bristol), I also would not want to tackle the maths ;-)
Please, feel free to add another task to run a chi-square test on the results of Seven-dice from Five-dice, but write the task in such a way that enough languages would be able to compute it if possible. (But then, if mathematica or R have a built-in function, shouldn't they be able to shine)? --Paddy3118 07:27, 8 August 2009 (UTC)
And why shouldn't they shine at something they're good at? —Donal Fellows 11:56, 8 August 2009 (UTC)

It would be nice if it interpretation of the delta parameter were more clearly specified. I don't feel comfortable improvising. —Dennis Furey 21:54, 8 August 2009 (UTC)