Statistical tests, such as t tests, the chi-square test, ANOVA, MANOVA, and Fisher's test, are significant in terms of the exercise of model building. The more the tests you conduct on the given data, the better understanding you get of the data; you can also check how different variables interact with each other.

These variable interactions and the understanding and significance at various levels come really handy when developing different models.