Sequential Analysis of Mean for Test Equality of Several Means

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dc.contributor.authorOyeyemi, G. M.
dc.contributor.authorAdeleke, B. L.
dc.date.accessioned2023-07-19T14:08:59Z
dc.date.available2023-07-19T14:08:59Z
dc.date.issued2011
dc.description.abstractThe of Analysis of Means (ANOM) and Sequential Analysis of Means (SANOM) as graphical statistical techniques for comparing group of treatment means were examined in this paper. Results arising from the ANOM and SANOM were compared with the conventional (parametric) approach, Analysis of Variance (ANOVA) and its Post Hoc analysis. Apart from its simplicity for non-statistician, ANOM and SANOM were found to be more efficient, precise and unambiguous especially in its post hoc analysis (SANOM) for producing non-overlapping homogeneous subgroups in the separation of means.en_US
dc.description.sponsorshipself-sponsoreden_US
dc.identifier.citationInterStat Journalen_US
dc.identifier.urihttps://uilspace.unilorin.edu.ng/handle/20.500.12484/11578
dc.publisherVirginia Tech., USAen_US
dc.relation.ispartofseries1;1 - 9
dc.subjectANOM, Decision Lines, Homogenous, SANOM, Treatmentsen_US
dc.titleSequential Analysis of Mean for Test Equality of Several Meansen_US
dc.typeArticleen_US

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