What is the assumption of normality and why is it important?

Means that you should make sure your data roughly fits a bell curbe shape before running certain statistical tests or regression. Deviations from normality render statistical tests inaccurate so it is important to know if your data are normal. Tests that rely upon the assumption of normality are called parametric tests. Small sample sizes <20 causes