Describe The Concept Of Kurtosis. Kaplansky 1945 referred to the tendency to describe kurtosis in terms of peakedness alone as. Karl Pearson has called it the Convexity of a Curve.
A leptokurtic distribution is one that has kurtosis. We conclude that it is best to define kurtosis vague- ly as the location- and scale-free movement of probability mass from the shoulders of a distribution into its center and tails and to recognize that it can be formalized in many ways. Kurtosis is a statistical measure used to describe the degree to which scores cluster in the tails or the peak of a frequency distribution.
From extreme values and outliers we mean observations that cluster at the tails of the probability distribution of a random variable.
The peak is the tallest part of the distribution and the tails are the ends of the distribution. Karl Pearson has called it the Convexity of a Curve. Kaplansky 1945 referred to the tendency to describe kurtosis in terms of peakedness alone as. The peak is the tallest part of the distribution and the tails are the ends of the distribution.
