A positively skewed distribution is the complete opposite of a negatively skewed distribution. There are two types of skewness, apart from this:Ī positively skewed distribution (often referred to as Right-Skewed) is a distribution type where most values are concentrated to the left tail of the distribution whereas the right tail of the distribution is longer. Well, the normal distribution is the distribution of the probability without any skewness. To quickly see if the data is skewed, we can use a histogram. When both sides of the distribution are not distributed equally then this is known as Skewed Data. In simple words, skew is the measure of how much a random variable's probability distribution varies from the normal distribution. The measure of the asymmetry of a distribution of probability that is ideally symmetric and is given by the third standardized moment is skewness.
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