normality test. if either skewness/se_skew is outside -1.96 -- 1.96, the data are unlikely to be normally distributed. Or Kolmogorov-Smirnov test, Shapiro-Wilks' W test. But a visual examination is the best. Negative values of the skewness indicate data that are skewed to the left(negativelz skewed)

mf_skewness(x)

skewness

## Examples