Kurtosis — Understanding the Distribution tails to know how often outliers occur 😳

“Its the weight on the extremes ends of a distribution.”

The topic of Kurtosis has been controversial for decades now, the basis of kurtosis all these years has been linked with the peakedness but the ultimate verdict is that outliers (fatter tails) govern the kurtosis effect far more than the values near the mean (peak).

Now, think of punching or pulling the normal distribution curve from the top, what impact will it have on the shape of the distribution ?

Let’s visualise:

So there are two things to notice —

1. The peak of the curve.
2. The tails of the curve.

Interesting 😩 But Is there is any Easy Peasy, Lemon Squeezy way !!

The story goes like this:

Imagine you’re going grocery shopping with your parents. Since they have their hands full, they ask you to…