REVISED ON REQUEST: Is normality test conducted to check sample normality or population normality, most of the times normality test is required to validate the assumptions of parametric test i.e. the population distribution is normal.
ORIGIANLLY POSTED: We have descriptive normality tests like histogram, QQ plot and other graphical methods Skewness and kurtosis numerical measures
Then the inferential methods the Shapiro-Wilk, Anderson-Darling, KS etc
Why would one perform normality test on sample for descriptive results, most of the hypothesis test talks about population being normal which means inferential methods should be used?
Wondering if something is amiss in my understanding.
I am puzzled why and how descriptives are necessary.