Statistical methods are crucial in catalysis for several reasons:
Data Analysis: They allow for the interpretation of complex experimental data to identify trends and patterns. Optimization: They help in optimizing reaction conditions to achieve maximum efficiency and yield. Mechanistic Insights: Statistical models can provide insights into the underlying mechanisms of catalytic reactions. Predictive Modeling: They enable the development of predictive models that can forecast the behavior of catalytic systems under different conditions.
