Catalytic reactions often involve complex mechanisms and a variety of intermediate species. Accurate data collection is crucial for understanding these mechanisms and for the development of efficient catalysts. Oversampling allows researchers to:
1. Identify and eliminate outliers: Multiple data points can help in distinguishing between genuine results and anomalies. 2. Improve statistical confidence: A larger dataset provides more reliable statistical analysis. 3. Enhance reproducibility: Consistent results across multiple trials confirm the reliability of the experimental setup. 4. Optimize experimental conditions: Fine-tuning reaction conditions can be better achieved with a comprehensive dataset.
