Skewness reduction is a statistical technique aimed at transforming data to achieve a more symmetrical distribution, enhancing the validity of statistical analyses that assume normality. This process often involves applying transformations such as logarithmic, square root, or Box-Cox to address the asymmetry in data distributions, thereby improving the accuracy of inferential statistics and predictive models.