The study compared different tests for checking if data follows a normal distribution. They used simulations and real data from agricultural experiments. The results showed that as sample size increases, the tests become more accurate. The Shapiro-Wilk test is best for most cases, especially with skewed data. The D’Agostino-Pearson Omnibus test is good for small samples with symmetric data, while the Kurtosis test is best for larger samples.