Computing Power and Sample Size for Hotelling T2 Test

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dc.contributor.authorOyeyemi, G. M.
dc.date.accessioned2023-07-19T14:11:03Z
dc.date.available2023-07-19T14:11:03Z
dc.date.issued2007
dc.description.abstractMultiple comparisons often arises in statistical analysis and several methods exist for adjusting statistical significance levels taking into consideration the sample size and the power of the test. ln this paper Hotelling T-Square method for handling multiplicity in the p-variate two sample cases is discussed. A generalized method is derived for computing the exact power for the test. Apart from sample sizes, the magnitude and the direction of correlation between the variables also contributed to the power size of the test.en_US
dc.description.sponsorshipSelf-sponsoreden_US
dc.identifier.citationGlobal Journal of Mathematical Sciencesen_US
dc.identifier.urihttps://uilspace.unilorin.edu.ng/handle/20.500.12484/11582
dc.language.isoenen_US
dc.publisherPublished by Bachudo Sciences Co. Ltden_US
dc.relation.ispartofseries6(2);71 - 73
dc.subjectBivariate Normal, Correlation, Hotelling T-Square, Poweren_US
dc.titleComputing Power and Sample Size for Hotelling T2 Testen_US
dc.typeArticleen_US

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