Dispersion Skewness And Kurtosis. A normally distributed data has both skewness and kurtosis equal to zero. It is the given measure of how spread apart the values in a data set are.
International Encyclopedia of Education pp267-273. It is near-normal if skewness and kurtosis both ranges from -1 to 1. If the curve is more flat-topped than the normal curve then it is called platykurtic.
Sample kurtosis that significantly deviates from 0 may indicate that the data are not normally distributed.
Jan 31 2021 Kurtosis is defined as the peakedness of a distribution usually taken in relation to a normal distribution. Kurtosis risk is commonly referred to as fat tail. If a normal distribution has a skewness of 0 right skewed is greater then 0 and left skewed is less than 0. A curve having relatively higher peak than the normal curve is known as leptokurtic.
