Positive Skewness Meaning. The skewness value can be positive zero negative or undefined. If the distribution is symmetric then it has a skewness of 0 its mean median mode.
If the distribution is symmetric then it has a skewness of 0 its mean median mode. Therefore right skewness is positive skewness which means skewness 0. The distribution is positively skewed when most of the frequency of distribution lies on the right side of distribution has a longer and fatter right tail.
So towards the right of the graph the scores become more positive.
In cases where one tail is long but the other tail is fat skewness does not obey a simple rule. This first example has skewness 2 0 as indicated in the right top corner of the graph. Skewness measures this extent of asymmetry. A probability distribution does not need to be a perfect bell shaped curve.
