The study compared the power of two statistical tests, ANOVA and Kruskal‒Wallis, when data assumptions are violated. They ran simulations with different scenarios and found that the Kruskal‒Wallis test performed better in cases where data was not normally distributed. Even though the ANOVA test had higher power in normally distributed data, the differences were not significant. Overall, the study suggests that the Kruskal‒Wallis test is more reliable when data assumptions are uncertain.