What Does Negative Skewness And Positive Kurtosis Mean. Skew indicates how asymmetrical the distribution is with more skew indicating that one of the tails stretches. We use kurtosis to quantify a phenomenons tendency to.
Data is fairly symmetrical. Jan 31 2021 The skewness may be either positive or negative. Mar 04 2017 Positive kurtosis represents that the distribution is more peaked than the normal distribution whereas negative kurtosis shows that the distribution is less peaked than the normal distribution.
Salary data is often skewed in this manner.
A normal distribution has zero kurtosis a Student distribution with at least five degrees of freedom has positive kurtosis and a uniform distribution has a negative kurtosis. Aug 23 2018 There are two types of Skewness. There are three types of distributions. Negative values for the skewness indicate data that are skewed left and positive values for the skewness indicate data that are skewed right.
