High Kurtosis Graph. This is exactly what is depicted in graph c. Kurtosis is sometimes confused with a measure of.
This is exactly what is depicted in graph c. High values of κ arise in two circumstances. It is also a measure of the peakedness of the distribution.
However when high kurtosis is present the tails extend farther than the or three standard deviations of the normal bell curved distribution.
A high kurtosis distribution has a sharper peak and longer fatter tails while a low kurtosis distribution has a more rounded pean and shorter thinner tails. Compared to a normal distribution its tails are shorter and thinner and often its central peak is lower and broader. The biggest misconception with respect to a high kurtosis is that many people concentrate completely on the fat tails and ignore the high peak. The graph below describes the three cases of skewness.
