Statistical analysis is integral to data accuracy. It helps in identifying outliers, determining the significance of results, and estimating uncertainties. Techniques such as regression analysis, ANOVA, and error propagation are commonly used to analyze catalytic data. These methods ensure that the data is robust and the conclusions are statistically significant.
