Skewness Value Meaning. This first example has skewness 2 0 as indicated in the right top corner of the graph. Also the mode occurs at the highest frequency of the distribution which is on the left side of the median.
For a unimodal distribution negative skew commonly indicates that the tail is on the left side of the distribution and positive skew indicates that the tail is on the right. Well the answer to that is that the skewness of the distribution is on the right. In probability theory and statistics skewness is a measure of the asymmetry of the probability distribution of a real valued random variable about its mean.
Sets of data that are not symmetric are said to be asymmetric.
The measure of how asymmetric a distribution can be is called skewness. This means that the right and the left of the distribution are perfect mirror images of one another. Sets of data that are not symmetric are said to be asymmetric. So towards the right of the graph the scores become more positive.
