Abstract
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.
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Barot, T., Krpec, R. (2019). Alternative Approach to Fisher’s Exact Test with Application in Pedagogical Research. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds) Computational and Statistical Methods in Intelligent Systems. CoMeSySo 2018. Advances in Intelligent Systems and Computing, vol 859. Springer, Cham. https://doi.org/10.1007/978-3-030-00211-4_6
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