Two Factor Data Analysis with Unequal Cell Frequencies and Interaction
Science Journal of Applied Mathematics and Statistics
Volume 3, Issue 6, December 2015, Pages: 288-292
Received: Nov. 18, 2015;
Accepted: Dec. 5, 2015;
Published: Dec. 25, 2015
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Chinwendu Alice Uzuke, Department of Statistics, Faculty of Physical Sciences, Nnamdi Azikiwe University, Awka, Nigeria
Ikewelugo Cyprian Anene Oyeka, Department of Statistics, Faculty of Physical Sciences, Nnamdi Azikiwe University, Awka, Nigeria
Happiness Onyebuchi Obiora-Ilouno, Department of Statistics, Faculty of Physical Sciences, Nnamdi Azikiwe University, Awka, Nigeria
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This paper proposes a non parametric method for two factor data analysis with unequal cell frequencies and interaction. Chi-square test statistic was developed for testing the null hypothesis of no treatment effect and interaction between factor A and factor B. The proposed methods are illustrated with some data and compared with the usual unweighted mean method. The result showed that the proposed method is more powerful than the method of unweighted mean.
Cell Frequency, Interaction, Chi-square, Unweighted Mean, Ranking, Tied Observation
To cite this article
Chinwendu Alice Uzuke,
Ikewelugo Cyprian Anene Oyeka,
Happiness Onyebuchi Obiora-Ilouno,
Two Factor Data Analysis with Unequal Cell Frequencies and Interaction, Science Journal of Applied Mathematics and Statistics.
Vol. 3, No. 6,
2015, pp. 288-292.
Copyright © 2015 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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