Spider´s data and the Jarque-Bera test Concerning each random variable, S, k, JB the following procedure was used. By S0, k0, JB0 was denoted the Skewness, Excess kurtosis and Jarque-Bera observed values in data. a) By Monte Carlo simulations a large number M of normal samples n size pseudo-samples was obtained, the mean and standard deviation equal to those the real sample show, b) From each one S was calculated. The M set of values play the role of Null Hypotheses to which S0 will be compared, c) Then the number of times S>S0 is counted, the total divided by M assimilated to the parameter´s p-value. The same treatment for the Excess Kurtosis and female spider´s data leads to:
Conclusion In what concerns JB-LM statistics, the results do reject that samples were drawn from normal Populations. arxiv.org/pdf/math/0509423 . Critical values: 5%, 2.8814(n=35), 2.3417(n=30) ;1%, 11.736, 8.7182 Because 100% simulated k are larger than both samples observed values, it leads to persuade that both male and female lengths are platikurtic.