The article explores different methods for transforming data to better understand and predict uncertainties in geotechnical data. By comparing three transformation methods, researchers found that the Johnson transformation method is the most reliable for constructing accurate multivariate normal distributions. This method helps estimate unknown parameters more effectively, making it a valuable tool for analyzing real soil databases.