What is Skewness? In statistics, the term skewness refers to an asymmetrical or distorted distribution of values of a data set. When a data set is plotted on the x and y-axis, it can either indicate a normal or skewed distribution. A normal distribution is represented by a bell-shaped curve produced if there are equal denominations on both positive and negative sides of the mean. Hence, a normal distribution is symmetrical where mean, median, mode, and mode are equal, and skewness equals zero. ( mean=median=mode, skew=0 ) On the other hand, a skewed distribution is formed when unequal positive and negative denominations are plotted around the mean. A skewed distribution is of two types; positive ( right-skewed ) and negative ( left-skewed ). Positive Skewness: When a positively skewed distribution is produced on a graph, the tail of the bell-shaped curve is tampered with towards the right due to the concentration of positive values. The inequality of the positive Skewness can
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