Visual Assessment vs. Statistical Goodness of Fit Tests for Identifying Parent Population

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dc.contributor.authorMari Berry
dc.contributor.authorBrian Peacock
dc.contributor.authorBobbie Foote
dc.contributor.authorLawrence Leemis
dc.date.accessioned2016-01-14T19:53:49Z
dc.date.accessioned2016-03-30T15:35:29Z
dc.date.available2016-01-14T19:53:49Z
dc.date.available2016-03-30T15:35:29Z
dc.date.issued1988-10-01
dc.description.abstractStatistical tests are used to identify the parent distribution corresponding to a data set. A human observer looking at a histogram can also identify a probability distribution that models the parent distribution. The accuracy of a human observer was compared to the chi-square test for discrete data and the Kolmogorov-Smirnov and chi-square tests for continuous data. The human observer proved more accurate in identifying continuous distributions and the chi-square test proved to be superior in identifying discrete distributions. The effect of sample size and number of intervals in the histogram was included in the experimental design.en_US
dc.description.peerreviewYesen_US
dc.description.peerreviewnoteshttps://us.sagepub.com/en-us/nam/manuscript-submission-guidelinesen_US
dc.identifier.citationBerry, M., Peacock, B., Foote, B., & Leemis, L. (1988). Visual Assessment vs. Statistical Goodness of Fit Tests for Identifying Parent Population. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 32(7), 460-464. doi: 10.1177/154193128803200701en_US
dc.identifier.doi10.1177/154193128803200701en_US
dc.identifier.urihttp://hdl.handle.net/11244/25470
dc.language.isoen_USen_US
dc.publisherProceedings of the Human Factors and Ergonomics Society Annual Meeting
dc.rights.requestablefalseen_US
dc.titleVisual Assessment vs. Statistical Goodness of Fit Tests for Identifying Parent Populationen_US
dc.typeResearch Articleen_US

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