I have two datasets i am trying to compare and determine if there is a statistical difference between them. I have been exploring different test such as the f-test, t-test, wilcoxon test, chi square test, etc. The datasets are 49 rows by 15 columns. Each column represents a month going from month 1 to month 15. One row represents how the numbers change from month 1 to month 15 for one individual. What i have been doing is aggregating them together into one row and comparing the aggregation against each other. When i plug them as an aggregate, the model is telling me there is no statistical difference. i am wondering if this is the best approach or not.