What is Kurtosis ? and its types with sums.

➡️What is Kurtosis?
Kurtosis is a statistical measure that describes how the tails of a distribution differ from a normal distribution. It's a measure of the "tailedness" of a distribution, which is how often outliers occur.
Kurtosis is a shape parameter that characterizes the degree of peakedness. It's a scaled version of the fourth moment of the distribution, which is related to the tails of the distribution, not its peak.
Kurtosis helps measure how data disperse between a distribution's center and tails. Larger values indicate a data distribution may have “heavy” tails that are thickly concentrated with observations or that are long with extreme observations.
Distributions with medium kurtosis (medium tails) are mesokurtic. Distributions with low kurtosis (thin tails) are platykurtic. Distributions with negative excess kurtosis are said to be platykurtic.
Kurtosis helps to understand where the most information lies and analyze the outliers in a given data.
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