Skewness And Kurtosis Difference. The kurtosis is positive with a value greater than 3. If the skewness is negative then the distribution is skewed to the left while if the skew is positive then the distribution is skewed to the right see figure 1 below for an.
The points presented to you explain the fundamental differences between skewness and kurtosis. If skewness is between 1 and or between and 1 the distribution is moderately skewed. Skewness is a measure of the degree of lopsidedness in the frequency distribution.
Skewness is a measure of the degree of lopsidedness in the frequency distribution.
With a skewness of 0 1098 the sample data for student heights are. Skewness basically measures the asymmetry in data. Kurtosis quantifies the distribution s tailedness and conveys the corresponding phenomenon s tendency to produce values that are far from the mean. Kurtosis is a measure of whether the data are heavy tailed or light tailed relative to a normal distribution.
