Lowskew
Lowskew is a term used to describe a data distribution that exhibits low skewness, meaning its shape is close to symmetric around the center. In statistics, skewness measures the asymmetry of a distribution; a distribution with little or no skew has a skewness value near zero. Positive skew indicates a longer tail on the right, while negative skew indicates a longer tail on the left. When a distribution is near zero skew, it is often informally described as having low skew.
Skewness is typically quantified using moments, such as Fisher-Pearson skewness or Pearson’s coefficient. In many practical
In data analysis and modeling, low skew can simplify assumptions underlying parametric methods, such as linear
See also: skewness, symmetry, normal distribution, transformation, Box-Cox.