Inthis article, kurtosis is illustrated with well-known distributions, and aspects ofits interpretation and mis nterpretation arediscussed.

In this Unit you will learn various techniques to distinguish between various shapes ofa frequency distribution. This is the final Unit with regard to the summarisation of univariate data. This Unit …

quency distribution. Karl Pearson classified curves into three types on the basis of the . hape of their peaks. (i) Mesokurtic (ii) Leptokurtic a. fined as B2 = 4 με The kurtosis of a distribution is …

Estimated coefficients of skewness and kurtosis revealed the presence of genetic interactions for yield and yield attributing traits like number of productive tillers per plant, panicle length, …

Consider three kurtosis prototype shapes. Leptokurtic: A curve which is more peaked then the normal. Mesokurtic: A normal curve is called mesokurtic curve. PlatyKurtic: A flat curve than …

n the case of fiber fineness, all four crosses (-0.38, - 0.79, -1.11 and -0.24) showed a platykurtic curve. The curve was leptok rtic in crosses I (1.20), IV (1.95) and platykurtic in crosses II ( …

Kurtosis can be visually assessed through histograms, which display the distribution of values. Leptokurtic distributions have a tall and narrow peak, while platykurtic distributions have a …