The article discusses common problems when using Chi-square tests in statistics. It offers solutions for issues in testing goodness-of-fit, homogeneity, and independence. The researchers found that defining frequency classes and calculating the X2 statistic are key challenges in the goodness-of-fit test. They also identified equations to determine factors' contributions in the homogeneity test. The Fisher exact test was highlighted as the best method for analyzing independence, with Yates and Mantel-Haenszel corrections as alternatives.