Hi Dayana. I found your explanation very understandable, particularly how you linked each type of group with its respective statistical test. Something that made me reflect is that, although these tests are extremely useful, sometimes we rely excessively on p-values without taking into account the context or the magnitude of the effect. For example, a result may be statistically significant but, in practical terms, have a very limited effect. Furthermore, I consider it essential to verify the assumptions prior to applying these tests, since if they are not met, the results could be false. Have you ever experimented with nonparametric tests as an option? It would be interesting to know in what situations you have used them or might consider using them.