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dc.contributor.advisorShklov, N.en_US
dc.creatorDuthie, Audrey Isabellaen_US
dc.date.accessioned2010-08-16T09:01:30Zen_US
dc.date.accessioned2013-01-04T04:53:04Z
dc.date.available2011-08-16T08:00:00Zen_US
dc.date.available2013-01-04T04:53:04Z
dc.date.created1959en_US
dc.date.issued1959en_US
dc.date.submitted1959en_US
dc.identifier.urihttp://hdl.handle.net/10388/etd-08162010-090130en_US
dc.description.abstractThe analysis of variance, when used as a technique for testing hypotheses, constitutes an effective method for testing the homogeneity of a set of means of groups to which various experimental treatments have been administered. However, when the homogeneity hypothesis is rejected, the analysis of variance proves inadequate in that it does not designate where the differences between means exist. An indication of such differences is often required in order to evaluate the effects of the individual treatments. The problem of breaking up the treatment means into distinguishable groups, so as to indicate where the contrasts exist, has been investigated, to some extent, in the case of means based on treatment groups of equal numbers of items. The several approaches, and their corresponding statistical tests, will be reviewed. This will serve to introduce the general problem, and will provide a background for the case of means based upon groups of unequal numbers of items. Tests for this latter case will be proposed and presented with the tables necessary for the calculations entailed. Examples will be included.en_US
dc.language.isoen_USen_US
dc.titleTests for factor differences when the numbers of items in the sub-classes are unequalen_US
thesis.degree.departmentCollege of Graduate Studiesen_US
thesis.degree.disciplineCollege of Graduate Studiesen_US
thesis.degree.grantorUniversity of Saskatchewanen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Arts (M.A.)en_US
dc.type.materialtexten_US
dc.type.genreThesisen_US
dc.contributor.committeeMemberHoffer, A.en_US
dc.contributor.committeeMemberZwirner, W.en_US


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