How is Data Interpreted in Experimental Validation?
Interpreting data in experimental validation involves comparing empirical results with theoretical predictions. Discrepancies between the two can indicate either errors in the experimental setup or limitations in the theoretical model. Advanced statistical methods and data analysis techniques are often employed to ensure accurate interpretation of the results.
