Chi-squared test particularly modified by paired test

Abstract

In some cases, the statistical methods have limits, which has been brought problems with their computations. In this paper, the Chi-squared test is discussed with its limitations. The Chi-squared test is being computed by two default tables – the table of the empirical and theoretical frequencies. In case of fulfilling similarities, the zero hypothesis is failed to be rejected. In the opposite case, the zero hypothesis is rejected in favor of the alternative hypothesis. The two categorical variables are considered. The limitations based on the Chi-squared test usually have implicated the Fisher exact test, which is computationally difficult. In this paper, the situation is declared as view on the problem as the paired comparison using by the Wilcoxon or T paired test according to the normality testing.