def main(): # get the data pool, firsts, others = cumulative._make_tables() # run the test _test(firsts.lengths, others.lengths, pool.lengths, iters=1000)
def main(): random.seed(17) # make the continuous CDFs _make_expo_cdf() _make_pareto_cdf() _make_pareto_cdf2() _make_normal_cdf() # test the distribution of birth weights for normality pool, _, _ = cumulative._make_tables() t = pool.weights _make_normal_model(t) _make_normal_plot(t)