Quantifying uncertainty involves statistical methods and rigorous experimental design. Techniques such as error propagation, standard deviation, and confidence intervals are commonly used. Moreover, advanced methods like Monte Carlo simulations and Bayesian inference can provide more comprehensive insights into the uncertainty of catalytic systems.