2003Unpublished venueRequires access

One‐Way Analysis of Variance

Michael R. Chernick, Robert H. Friis

Open publisher page 2 citations

Abstract

The analysis of variance is a comparison of different populations in studies… The one-way analysis of variance (ANOVA) The purpose of the one-way analysis of variance (ANOVA) is… The assumptions for the one-way analysis of variances are… The F distribution will be used to evaluate the significance of the association… Rejecting the null hypothesis in the analysis of variance is to conclude that… Multiple comparisons and Tukey's Honest Significant Difference (HSD) Test

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What this paper is about

The analysis of variance is a comparison of different populations in studies… The one-way analysis of variance (ANOVA) The purpose of the one-way analysis of variance (ANOVA) is… The assumptions for the one-way analysis of variances are… The F distribution will be used to evaluate the significance of the association… Rejecting the null hypothesis in the analysis of variance is to conclude that… Multiple comparisons and Tukey's Honest Significant Difference (HSD) Test

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The analysis of variance is a comparison of different populations in studies… The one-way analysis of variance (ANOVA) The purpose of the one-way analysis of variance (ANOVA) is… The assumptions for the one-way analysis of variances are… The F distribution will be used to evaluate the significance of the association… Rejecting the null hypothesis in the analysis of variance is to conclude that… Multiple comparisons and Tukey's Honest Significant Difference (HSD) Test

Key concepts: Analysis of variance, One-way analysis of variance, Statistics, Variance (accounting), Tukey's range test, Mixed-design analysis of variance, Statistical analysis, Multivariate analysis of variance

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