Answer to Question #99794 in Statistics and Probability for Rutika Sawant

Question

what do high kurtosis and skewness figure denote ?

Answer 1

Data sets with a high kurtosis tend to have heavy tails or outliers (which are not exponentially bounded), and positive values for the skewness indicate data that are skewed right. Positive skewness means that the tail on the right side of the distribution is longer or fatter. The mean and median will be greater than the mode. Negative skewness is when the tail of the left side of the distribution is longer or fatter than the tail on the right side. So, a high positive or negative skewness means that the tail on the right or the left side of the distribution respectively is longer or fatter.