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What Is The Meaning Of Skewness. - 1790352 EllhieDanish EllhieDanish 17112017 CBSE BOARD XII Secondary School answered What is the meaning of skewness. Negative Skewness is when the tail of the left side of the distribution is longer or fatter than the tail on the right side. The most commonly used measure of skewness is Karl Pearsons measure given by the symbol Skp. A normal distribution is without any skewness as it is symmetrical on both sides.
In short it is the measure of the degree of asymmetry of data round its mean. Attribute of the distribution having one tail heavier than the other. Positive and Negative Positive Skewness means when the tail on the right side of the distribution is longer or fatter. Finance theory suggests investors generally prefer both positive skewness and positive co-skewness. A symmetrical data set will have a skewness equal to 0. If that sounds way too complex dont worry.
A negatively skewed data doesnt have a bell curve.
One way of determining if the degree of skewness is significantly skewed is to compare the numerical value for Skewness with twice the Standard Error of Skewness and include the range from minus twice the Std. If dispersion measures amount of variation then the direction of variation is measured by skewness. Skewness is a measure of asymmetry or distortion of symmetric distribution. A negatively skewed data doesnt have a bell curve. Skewness refers to a distortion or asymmetry that deviates from the symmetrical bell curve or normal distribution in a set of data. One way of determining if the degree of skewness is significantly skewed is to compare the numerical value for Skewness with twice the Standard Error of Skewness and include the range from minus twice the Std.