{"comment":{"url":"https://api.github.com/repos/renatoathaydes/ceylon-random/comments/10932555","html_url":"https://github.com/renatoathaydes/ceylon-random/commit/2b4077f0a8051767d06c9c32a3567f8c7d289054#commitcomment-10932555","id":10932555,"user":{"login":"jvasileff","id":236050,"avatar_url":"https://avatars.githubusercontent.com/u/236050?v=3","gravatar_id":"","url":"https://api.github.com/users/jvasileff","html_url":"https://github.com/jvasileff","followers_url":"https://api.github.com/users/jvasileff/followers","following_url":"https://api.github.com/users/jvasileff/following{/other_user}","gists_url":"https://api.github.com/users/jvasileff/gists{/gist_id}","starred_url":"https://api.github.com/users/jvasileff/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/jvasileff/subscriptions","organizations_url":"https://api.github.com/users/jvasileff/orgs","repos_url":"https://api.github.com/users/jvasileff/repos","events_url":"https://api.github.com/users/jvasileff/events{/privacy}","received_events_url":"https://api.github.com/users/jvasileff/received_events","type":"User","site_admin":false},"position":null,"line":null,"path":"","commit_id":"2b4077f0a8051767d06c9c32a3567f8c7d289054","created_at":"2015-04-28T04:47:16Z","updated_at":"2015-04-28T04:47:16Z","body":"I like the `naturalDistribution` test, but I think it would be better to test for a normal distribution, and with a less arbitrary definition of success. Really, the evenness of the measurements would depend on the number of samples.\r\n\r\nA good approach may be to transform the values into a uniform distribution, and then use the chi squared test that is now available in stats.ceylon."}}