This document discusses the importance and process of interpreting numerical data and research findings. Interpretation is making sense of collected and analyzed data through statistical analysis and inferential statistics. It involves drawing inferences to understand underlying relationships and extend findings beyond the current study. Correct interpretation establishes connections between current results and past research, and develops explanatory concepts to guide future studies. The researcher must consider all relevant factors, remain cautious of errors, and avoid broad generalizations when interpreting results.