Alternative Approach to Fisher's Exact Test with Application in Pedagogical Research

Mathematical statistical methods have been frequently appeared in practical implementations of intelligent systems and as a tool for processing research data. In favor of these applications or for purposes of a reduction of a computational complexity, modifications of established approaches can be advantageous. In this paper, a statistical approach to practical providing hypotheses testing with two categorical variables is simplified. This presented proposal can be appropriate for purposes of unfulfilling necessary input conditions of Chi-squared test instead a more complex Fisher's exact test. The proposed approach can be concretely an alternative to this Fisher's exact test and brings a simplification of considered problem. The presented recommendation is demonstrated on a practical example of a statistical research; especially, in case of a concrete statistical quantitative research with pedagogical aspects. In this utilization, two categorical variables are considered, both with two items, corresponding to a case of four-field contingency table.