Skewness Understaning by CHIRAG
What is skewness? In simple words, skewness is the measure of how much the probability distribution of a random variable deviates from its Mean the normal distribution. Now, What is normal distribution here? Well, the normal distribution is the probability distribution without any skewness. You can look at the image below, which shows symmetrical distribution that’s a normal distribution, So far, we’ve understood the skewness of normal distribution using a probability or frequency distribution. Now, let’s understand it in terms of a boxplot because that’s the most common way of looking at a distribution in the data science space. The above image is a boxplot of symmetric distribution. You’ll notice here that the distance between Q1 and Q2 and Q2 and Q3 is equal,(Q3-Q2=Q2-Q1) let’s jump to the formula for skewness now: 1) SKEWNESS= MEAN-MODE/STANDARD DEVIATION 2)MODE= 3MEAN-2MEDIAN 3) SKEWNESS= 3(MEAN-MEDIAN)/STANDARD DEVIATION Common characteristics of all the Normal ...
