This document discusses skewness and kurtosis in statistical distributions. It defines: - Skewness as a measure of asymmetry in a distribution, where the mean, median, and mode are not equal. Positively skewed distributions have a mean greater than the median and mode, while negatively skewed distributions have a mean less than the median and mode. - Tests to determine if a distribution is skewed, including comparing measures of central tendency and analyzing the shape of the distribution graphically. - Measures of skewness including the mean-median, mean-mode, and interquartile range. - Kurtosis as a measure of the "peakedness" of a distribution,