{"action":"opened","issue":{"url":"https://api.github.com/repos/cogstat/cogstat/issues/66","repository_url":"https://api.github.com/repos/cogstat/cogstat","labels_url":"https://api.github.com/repos/cogstat/cogstat/issues/66/labels{/name}","comments_url":"https://api.github.com/repos/cogstat/cogstat/issues/66/comments","events_url":"https://api.github.com/repos/cogstat/cogstat/issues/66/events","html_url":"https://github.com/cogstat/cogstat/issues/66","id":250296540,"number":66,"title":"Consider sample size in assumption checks","user":{"login":"krajcsi","id":11868577,"avatar_url":"https://avatars3.githubusercontent.com/u/11868577?v=4","gravatar_id":"","url":"https://api.github.com/users/krajcsi","html_url":"https://github.com/krajcsi","followers_url":"https://api.github.com/users/krajcsi/followers","following_url":"https://api.github.com/users/krajcsi/following{/other_user}","gists_url":"https://api.github.com/users/krajcsi/gists{/gist_id}","starred_url":"https://api.github.com/users/krajcsi/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/krajcsi/subscriptions","organizations_url":"https://api.github.com/users/krajcsi/orgs","repos_url":"https://api.github.com/users/krajcsi/repos","events_url":"https://api.github.com/users/krajcsi/events{/privacy}","received_events_url":"https://api.github.com/users/krajcsi/received_events","type":"User","site_admin":false},"labels":[{"id":248119662,"url":"https://api.github.com/repos/cogstat/cogstat/labels/question","name":"question","color":"cc317c","default":true},{"id":410740240,"url":"https://api.github.com/repos/cogstat/cogstat/labels/statistics","name":"statistics","color":"fbca04","default":false}],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2017-08-15T12:07:45Z","updated_at":"2017-08-15T12:07:45Z","closed_at":null,"body":"CogStat uses hypothesis tests for assumption checks. When the sample size is small, the power of those tests is low resulting in frequent type II error.\r\n\r\nCS could use robust or non-parametric tests when the sample size is small, and it could skip the assumption check.\r\n\r\nAny other ideas?"}}
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