In a distribution with right skew the mean is always greater than median In a distribution with zero skew the mean and median are equal In a distribution with left skew the mean is always less than median ID: 1020442
Download Presentation The PPT/PDF document "Skewness Skewness is a measure of the as..." is the property of its rightful owner. Permission is granted to download and print the materials on this web site for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.
1. Skewness
2. Skewness is a measure of the asymmetry of a distribution. A distribution is asymmetrical when its left and right side are not mirror images. A distribution can have right (or positive), left (or negative), or zero skewness. A right-skewed distribution is longer on the right side of its peak, and a left-skewed distribution is longer on the left side of its peak:
3.
4.
5.
6. In a distribution with right skew, the mean is always greater than median. In a distribution with zero skew, the mean and median are equal. In a distribution with left skew, the mean is always less than median.
7. Karl Pearson’s Coefficient of Skewness
8. Bowley’s Coefficient of Skewness