Skewness Skewness - "Lack of Symmetry" We Study skewness to have an idea about the shape of the curve which we draw with the help of given data. If for a given data Mean = Median = Mode, then we say that the data is Symmetrical or Not skewed whereas the given data is said to be Asymmetrical or Skewed if: 1. Mean, Median and Mode doesn't fall at same point. 2. Quartiles are not equidistant. 3. The curve drawn is not symmetrical but stretched more to one side than the other. and such Asymmetrical distributions could either be Positively Skewed or Negatively Skewed. a) Symmetrical Distribution In the above diagram we have Mean = Median = Mode, so we can say that the data is distributed symmetrically along the center(Mean). We usually refer this kind of distributions as Normal Distributions or Gaussian Distribution which has a bell shaped curve. Gaussian Distribution is very important from statistical point of view and has wide range of applications in the fi...