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One-Way ANOVA

  • Richard M. Heiberger
  • Erich Neuwirth
Chapter
Part of the Use R book series (USE R)

Abstract

One-way ANOVA (analysis of variance) is a technique that generalizes the two-sample t-test to three or more samples. We test the hypotheses (specified here for k=6 samples) about population means μ j : H 0:μ 1=μ 2=μ 3=μ 4=μ 5=μ 6 H 1: Not all μ j are equal (j=1:6) The test is based on the observed sample means \(\bar x_j\).

Keywords

ANOVA Table Unequal Sample Size Menu Item Rejection Region Graphic Device 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  1. 1.Department of StatisticsTemple UniversityPhiladelphiaUSA
  2. 2.University of ViennaViennaAustria

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