This document discusses statistical significance and p-values. It explains that statistical significance determines whether differences in experimental and control groups are real or due to chance. Tests of significance are used to measure the influence of chance, and results are considered statistically significant if p < 0.05, meaning there is less than a 5% probability the results are due to chance. The document provides examples of interpreting p-values in experiments.