When comparing data from different distributions, what is the benefit of transforming data from these distributions to conform to the standard distribution? 

It is easier to compare and understand data that has been transformed from different distributions into the standard distribution. Transforming data sets to a common format allows researchers to compare and understand results across different experiments, studies, or research. This process also helps reduce bias and errors due to the outliers that are present in the dataset. These can be adjusted or removed when the data is transformed. For example, researchers can apply different statistical methods like parametric tests that require data with a normal distribution to get meaningful results.