Skewness And Kurtosis In Statistics. Looking at s as representing a distribution the skewness of s is a measure of symmetry while kurtosis is a measure of peakedness of the data in s. Skewness and kurtosis start by visualizing data.
Statistically two numerical measures of shape skewness and excess kurtosis can be used to test for normality. Skewness and kurtosis start by visualizing data. A brief tutorial about skewness and kurtosis in statistics.
Now let s look at the definitions of these numerical measures.
Most commonly a distribution is described by its mean and variance which are the first and second moments respectively. Looking at s as representing a distribution the skewness of s is a measure of symmetry while kurtosis is a measure of peakedness of the data in s. Many books say that these two statistics give you insights into the shape of the distribution. A brief tutorial about skewness and kurtosis in statistics.
