{"title":"Simpson’s paradox—two examples and a bit more","authors":"S. Selvin","doi":"10.1093/OSO/9780198833444.003.0031","DOIUrl":null,"url":null,"abstract":"When data that are not homogeneous are combined they often produce a variety of results that are deceptive and likely useless. Discussions and examples illustrate.","PeriodicalId":135906,"journal":{"name":"The Joy of Statistics","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Joy of Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/OSO/9780198833444.003.0031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
When data that are not homogeneous are combined they often produce a variety of results that are deceptive and likely useless. Discussions and examples illustrate.