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

The benefit of transforming data from different distributions to conform to the standard distribution is that it allows for better comparison and understanding. By transforming data sets into a common format, researchers can easily compare results from different studies or experiments and draw more accurate conclusions. Additionally, this process helps to reduce any bias or errors that may arise due to outliers in the original dataset as these can be removed or adjusted when transforming the data. Finally, it allows researchers to apply various statistical methods such as parametric tests which require normally distributed data in order to produce meaningful results.