A distribution-free test, also known as a non-parametric test, is a statistical method that does not assume a specific distribution for the data, making it versatile for analyzing data that do not fit traditional parametric assumptions. These tests are particularly useful for small sample sizes or ordinal data and can be applied in various fields where data distribution is unknown or non-normal.