Fallacies of Statistical Significance

dc.contributor.author Doganaksoy, Necip
dc.contributor.author Hahn, Gerald
dc.contributor.author Meeker, William
dc.contributor.author Meeker, William
dc.contributor.department Statistics
dc.date 2021-05-06T20:41:51.000
dc.date.accessioned 2021-08-15T01:48:50Z
dc.date.available 2021-08-15T01:48:50Z
dc.date.copyright Sun Jan 01 00:00:00 UTC 2017
dc.date.issued 2017-11-01
dc.description.abstract <p>Statistical significance (or hypothesis) tests, and the related concept of p-values, are popular tools in statistical data analysis. Unfortunately, the practical implications of statistical significance often turn out to be limited and are frequently misinterpreted and overstated, or even stated incorrectly.</p>
dc.description.comments <p>This article is published as Doganaksoy, N., Hahn, G.J., and Meeker, W.Q., (2017), Fallacies of Statistical Significance, <em>Quality Progress</em>, 50, December, 56–62. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/stat_las_pubs/322/
dc.identifier.articleid 1341
dc.identifier.contextkey 22818624
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath stat_las_pubs/322
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/dvmqgAav
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/stat_las_pubs/322/0-Response_from_ASQ.pdf|||Fri Jan 14 23:35:27 UTC 2022
dc.source.bitstream archive/lib.dr.iastate.edu/stat_las_pubs/322/2017_Meeker_FallaciesStatistical.pdf|||Fri Jan 14 23:35:29 UTC 2022
dc.subject.disciplines Categorical Data Analysis
dc.subject.disciplines Probability
dc.subject.disciplines Statistical Methodology
dc.title Fallacies of Statistical Significance
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication a1ae45d5-fca5-4709-bed9-3dd8efdba54e
relation.isOrgUnitOfPublication 264904d9-9e66-4169-8e11-034e537ddbca
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