After rejecting the null hypothesis in analysis of variance, next step is to make pairwise comparisons find out differences means. The purpose this paper threefold. foremost aim suggest expression for calculating decision limit that enables us collect test and one step. This proposed as ratio between square each treatment within sum squares all treatments. second obtain sampling distribution un...

This review introduces one-way analysis of variance, which is a method of testing differences between more than two groups or treatments. Multiple comparison procedures and orthogonal contrasts are described as methods for identifying specific differences between pairs of treatments.

I present an active learning classroom exercise illustrating essential principles of one-way analysis of variance (ANOVA) methods. The exercise is easily conducted by the instructor and is instructive (as well as enjoyable) for the students. This is conducive for demonstrating many theoretical and practical issues related to ANOVA and lends itself to multiple possible configurations of ANOVA re...

In summary, one-way ANOVA for independent groups is used to test whether the group means for a specific dependent variable differ significantly after exposing each group to a unique level of a single factor or independent variable. You may recognize the preceding sentence. We hope it makes more sense to you now than when you first read it at the beginning of this article.