Explain The Term Skewness And Kurtosis. It measures the deviation of the given distribution of a random variable. Kurtosis is descriptive or summary statistics and describes peakedness and frequency of extreme values in a distribution.
Why do we care. It measures the lack of symmetry in data distribution. A video explaining what is Kurtosis types of Kurtosis and the measure of Kurtosis.
A symmetrical distribution will have a skewness of 0.
It is a symmetrical graph with all measures of central tendency in the middle. It is a symmetrical graph with all measures of central tendency in the middle. This is surely going to modify the shape of the distribution distort and thats when we need a measure like skewness to capture it. Like skewness kurtosis describes the shape of a probability distribution and there are different ways of quantifying it for a theoretical distribution and corresponding ways of estimating it from a sample from a population.
