This document discusses descriptive statistics. It begins by defining descriptive statistics as data summaries that describe what the data looks like through quantitative and visual summaries, but do not explain why or how data elements interact. Quantitative descriptive statistics provide totals and averages, while qualitative summaries can include charts and diagrams. The document contrasts descriptive statistics with inferential statistics, which are used to make predictions about correlations between variables and generalize beyond the collected data. Some examples of descriptive statistics include totals, averages, and charts summarizing a data set, while inferential statistics might predict how early legal representation affects case outcomes or that an independent variable causes changes in a dependent variable.