Great explanation! I liked how you clearly described the purpose of each test and when to use them. It’s true that Pearson and Spearman help us understand relationships between variables that involve numbers, while Chi-square is more useful with categories. I also appreciate that you mentioned how the choice of test depends on the researcher’s goals and the type of data. Your point about using Spearman’s rho in cases of abnormalities is very important—sometimes we forget that not all data follows a perfect pattern. It reminds us how important it is to check the assumptions before running a test.