I really like how you use clear examples to explain the main ideas, especially the one about height and weight in relation to Pearson's correlation, as these are simple topics that make the concept easy to understand. I also agree with what you said about Spearman's rho being more suitable for ranked data than exact values. It is a better option when the assumptions of Pearson are not met. Additionally, we know that normality is not required for the chi-square test, whereas it is for Pearson.