Minimizing data variability involves several strategies:
Standardization: Implementing standardized protocols for catalyst synthesis, reaction conditions, and measurement techniques can reduce variability. Automation: Using automated systems for catalyst preparation and reaction monitoring can minimize human error. Replicates: Conducting multiple replicates of experiments helps in identifying and quantifying variability. Statistical Analysis: Employing statistical tools to analyze data can help in understanding the extent of variability and its sources.
