what makes a sample data p normal? why is a normality test important what transformation makes the data most normal? which transform is best for a normality check what should a transformation look like in statistics why is it important to do a normality check what would be the most normal data set to be how do you calculate p for a normality check how do you test the normality of a table how to determine normality of data what is the highest possible p value for a transform does the inverse transform mean why do we consider the conversion as a normality test? why does a transformed population data set have a low power what should the transformations that have the highest p value mean for a normality test why is normality tested why is it important to test for normality in statistics? why is the transformation of a normal data set necessary for a normality test? is the transformation for the normality test useful? why is a normality check important for a statistical testing project