Study on the Use of REGWQ Multiple Comparisons of Qualitative Data: A Statistical Approach

Abstract

The Ryan-Einot-Gabriel-Welsch and Quiot (REGWQ) test allows one to compare vast amounts of data while monitoring the likelihood of having at least one Type I or Family wise mistake. The REGWQ multiple comparisons test for qualitative data was used in this investigation. For multiple comparisons of the means, okra characterisation data was utilised and submitted to ANOVA (P_0.05) with REGWQ. When variances are heterogeneous, the findings of this study define a summary technique of following a significant ANOVA F with REGWQ test on several comparisons of means in summation of a broad entries/treatments to the small classes.

Cluster analysis could be particularly helpful for categorising qualitative treatments and should also be used in combination with REFWQ multiple generates. The research will be developed 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 produce overlapping group of means, unless access multiple comparison of gaulatitive data need new approaches in computer program to calculate exact studentized range values.