Kurtosis Interpretation. Kurtosis is a measure of the combined weight of a distribution s tails relative to the center of the distribution. The kurtosis is negative with a value.
How to interpret excess kurtosis and skewness the smartpls data view provides information about the excess kurtosis and skewness of every variable in the dataset. When a set of approximately normal data is graphed via a histogram it shows a. Kurtosis is derived from a transliteration of the greek word kurtos.
Now let s look at the definitions of these numerical measures.
When a set of approximately normal data is graphed via a histogram it shows a. Kurtosis is a statistical measure which quantifies the degree to which a distribution of a random variable is likely to produce extreme values or outliers relative to a normal distribution. The kurtosis is positive with a value greater than. Skewness assesses the extent to which a variable s distribution is symmetrical.
