Nicole, your reflection on the importance of assumptions made me think about how, beyond choosing the right test, we can explore the deeper meaning behind our data. What can a linear relationship show us compared to a monotonic one? When we ask whether our variables truly follow a normal distribution or keep a clear order, we are not only checking results but also discovering interesting patterns in the behavior of what we study. It’s even more valuable to consider what might happen if those assumptions are not met, and how nonparametric tests can give us other ways to analyze data. Through this, statistics becomes more than just calculations it turns into a tool that helps us question, understand, and connect the ideas hidden in our research.