Skewness is a measure of symmetry of a distribution. Positive skewness
means that the right tail is longer/fatter than the left tail. Negative
skewness means the left tail is longer/fatter than the right tail. Zero
skewness indicates a symmetrical distribution. Input must be an input
range with elements implicitly convertible to double.
Skewness is a measure of symmetry of a distribution. Positive skewness means that the right tail is longer/fatter than the left tail. Negative skewness means the left tail is longer/fatter than the right tail. Zero skewness indicates a symmetrical distribution. Input must be an input range with elements implicitly convertible to double.