The article explores how efficient different tests are for checking if data fits certain distributions. They focus on tests for normality, exponentiality, and the logistic distribution. The researchers found new efficiency results for normality tests, including in multiple dimensions, and computed efficiencies for the first time for logistic distribution tests. These findings can help practitioners choose the best test for their data analysis needs.