Find Skewness. Raise each of these deviations from the mean to the third power and sum 4. Skewness describes how the sample differs in shape from a symmetrical distribution.
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If the curve is shifted to the left or to the right it is said. The skewness of the normal distribution or any perfectly symmetric distribution is zero. A negative skew indicates that the tail is on the left side of the distribution which extends towards more negative values.
Calculate the mean and standard deviation 2.
Skewness is a commonly used measure of the symmetry of a statistical distribution. Kurtosis is a measure of whether the data are heavy-tailed or. If skewness is negative the data spreads out more to the left of the mean than to the right. Skewness value of the data set along the axis.
