Most parametric statistical tests assume the data follows a normal distribution. When this assumption is not valid and the data deviates from a normal distribution, non-parametric tests should be used to analyze and interpret the results. Non-parametric tests do not require a distribution to meet the required assumptions and are often referred to as distribution-free tests.