This document discusses different types of data and which statistical tests are appropriate for each. It defines nominal, categorical, ordinal, interval, and ratio data, explaining the key properties and differences between each. The document concludes that it is important to understand the level of measurement of your data in order to select the correct parametric or non-parametric statistical test to use. Non-parametric tests make fewer assumptions than parametric tests but can be less powerful.