Interpreting results: Skewness and kurtosis

Skewness quantifies how symmetrical the distribution is. A distribution that is symmetrical has a skewness of 0. If the skewness is positive, that means the right tail is 'heavier' than the left tail. If the skewness is negative, then the left tail of the distribution is dominant.

Kurtosis quantifies whether the shape of the data distribution matches the Gaussian distribution. A Gaussian distribution has a kurtosis of 0. A flatter distribution has a negative kurtosis, and a more peaked distribution has a positive kurtosis.