Thank you for the information. I completely agree that understanding the assumptions of each statistical test is essential for obtaining reliable results. It is very important to check if the data is normally distributed or if it is categorical or ordinal before applying Pearson, Spearman, or Chi-square. I also think it was a great point to mention type I and type II errors, because sometimes we forget how choosing the wrong test can really affect the interpretation of results.