University of Bahrain
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Analysis of Variance versus Analysis of Means: A Comparative Study

Show simple item record Elamir, Elsayed A. H. 2018-07-31T08:57:54Z 2018-07-31T08:57:54Z 2016-04
dc.identifier.issn 2384-4787
dc.description.abstract One-way analysis of variance (ANOVA) model is very famous and versatile statistical technique for studying the relation between response variable and one or more explanatory or predictor variables. In effect, ANOVA extends the two sample t-test for testing the equality of two population means to a more general null hypothesis of comparing the equality of more than two means. Meanwhile, the analysis of means (ANOM) is a graphical method for presenting multiple group comparisons with an overall mean. ANOM has enjoyed great popularity in quality control, and piles of extensions and applications have been discussed. The single-factor ANOVA and ANOM models are discussed and compared with each other‟s using actual data. The results on the cash offers and productivity improvement data are shown that the two models are not always giving the same results. en_US
dc.language.iso en en_US
dc.publisher University of Bahrain en_US
dc.rights Attribution-NonCommercial-ShareAlike 4.0 International *
dc.rights.uri *
dc.subject ANOVA
dc.subject ANOM
dc.subject Pairwise Test
dc.subject Tukey Test
dc.title Analysis of Variance versus Analysis of Means: A Comparative Study en_US
dc.type Article en_US
dc.volume 03
dc.issue 01
dc.pagestart 17
dc.pageend 30
dc.source.title Journal of Empirical Research in Accounting & Auditing
dc.abbreviatedsourcetitle JERAA

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