**Concept of Skewness:**

**The skewness of a distribution is defined as the lack of***symmetry.*In a symmetrical distribution, the Mean, Median and Mode are equal to each other and the ordinate at mean divides the distribution into two equal parts such that one part is mirror image of the other. If some observations, of very high (low) magnitude, are added to such a distribution, its right (left) tail gets elongated.**These observations are also known as extreme observations. The presence of extreme observations on the right hand side of a distribution makes it positively skewed and the three averages, viz., mean, median and mode, will no longer be equal.****Mean > Median > Mode when a distribution is positively skewed.****On the other hand, the presence of extreme observations to the left hand side of a distribution make it negatively skewed and the relationship between mean, median and mode is: Mean < Median < Mode.**