Interpreting experimental data involves comparing the observed results with the predictions made by the hypothesis. This may involve quantitative analysis, such as calculating turnover frequencies or selectivities, as well as qualitative observations, such as changes in catalyst morphology. Statistical methods can be employed to assess the significance of the results.
