Study on the Use of REGWQ Multiple Comparisons of Qualitative Data: A Statistical Approach
The Ryan-Einot-Gabriel-Welsch and Quiot (REGWQ) test compares large amounts of data while monitoring the likelihood of making at least one Type I or Family wise error. In this study, the REGWQ multiple comparisons test for qualitative data was used. Okra characterisation data was used for multiple comparisons of means and was submitted to ANOVA (P 0.05) with REGWQ. When variances are heterogeneous, the results of this study define a summary technique of following a significant ANOVA F with REGWQ test on several means comparisons in summation of a broad entries/treatments to the small classes. Cluster analysis may be especially useful for categorizing qualitative treatments and should be used in conjunction with REFWQ multiple generates. The study will be conducted in REGWQ multiple producers in SAS alternative for distributing a large number of treatments to a small population with summering the best treatment preference. The use of REGWQ for multiple comparisons of qualitative data typically results in overlapping groups of means, unless access to multiple comparisons of qualitative data necessitates new approaches in computer programs to calculate exact studentized range values.
Siraj O. Omer
Agricultural Research Corporation (ARC), P.O.Box 126, Wad Medani, Sudan.
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