This document discusses interpreting data gathered through hypothesis testing. It explains that educational research deals with descriptive and statistical data, and statistical analysis is used to present findings for interpretation. A hypothesis is a prediction about the relationship between variables, and can be confirmed or refuted. The null hypothesis represents no difference between variables, and is rejected if it lies outside the confidence level, meaning there is a statistically significant difference. Statistical significance means enough data was collected to show differences exist, but does not necessarily mean the differences are important. The statistical test determines if a hypothesis is correct by analyzing how likely the experimental results are due to chance alone.