How do you interpret skewness and kurtosis valuesaIf skewness is positive, the tail on the right side of the distribution will be longer.This follows from the generalization of the concept of mean and variance to moments and central moments.= [a?s 100A?99 / 98] [a??2.6933 / 8.5275 3/2] = a??0.1098.So towards the right of the graph, the scores become more positive.
A positive test generally correlates with the presence of infectious virus.The direction of skewness is to the tail. the larger the number, the longer the tail.This first example has skewness = 2.0 as indicated in the right top corner of the graph.The positively skewed distributions of investment returns are generally more desired by investors since there is some probability of gaining huge profits that can cover all the frequent small losses.You must compute the sample skewness:
We would report these values as follows:
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