Redundant measurements serve several critical purposes in the field of catalysis:
Error Reduction: By taking multiple measurements under the same conditions, researchers can average the results to minimize random errors. Reproducibility: Redundant data allows for the verification of experimental results, ensuring that findings are not due to random chance. Validation: They help in cross-validating the results obtained from different methods or instruments, thereby increasing confidence in the data. Robustness: Redundant measurements make it easier to identify anomalies and outliers, ensuring that the conclusions drawn are robust.
