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dc.contributor.advisorRajnak, Stanley L.
dc.contributor.advisorGill, John
dc.contributor.authorAtherton, Bruce
dc.date.accessioned2012-03-08T20:55:53Z
dc.date.available2012-03-08T20:55:53Z
dc.date.issued1973
dc.identifier.urihttp://hdl.handle.net/10920/25390
dc.descriptionv, 29 p.en_US
dc.description.abstractThis study is concerned with the comparison of probabilities of type I errors of various error distributions in the one-way analysis of variance. The probability of a type I error using the F-statisticas obtained for various forms of error distributions and compared to determine if there were any discernible trends. A second objective was to test a method of analyzing the non-normal data, hopefully giving probabilities of type I errors similar to that obtained from' normally distributed data. This method requires the substitution of standard normal order scores (Harter,1961), each multiplied b,y the estimated standard deviation of the original data, for the ordered residuals of the original data. It was hoped that this procedure would in some way "normalize" the data.en_US
dc.description.sponsorshipDairy Department. Michigan State University. East Lansing, Michigan.
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.publisherKalamazoo Collegeen_US
dc.relation.ispartofKalamazoo College Mathematics Senior Individualized Projects Collection
dc.relation.ispartofseriesSenior Individualized Projects. Mathematics.;
dc.rightsU.S. copyright laws protect this material. Commercial use or distribution of this material is not permitted without prior written permission of the copyright holder.
dc.titleDistortion of Type I Error Rate in the Analysis of Variance for Non-Normal Dataen_US
dc.typeThesisen_US
KCollege.Access.ContactIf you are not a current Kalamazoo College student, faculty, or staff member, email dspace@kzoo.edu to request access to this thesis.


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  • Mathematics Senior Individualized Projects [242]
    This collection includes Senior Individualized Projects (SIP's) completed in the Mathematics Department. Abstracts are generally available to the public, but PDF files are available only to current Kalamazoo College students, faculty, and staff.

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