@Test
public void testSample() throws Exception {

  double[] data = new double[10001];
  Sampler<Double> sampler = new Normal();
  for (int i = 0; i < data.length; i++) {
    data[i] = sampler.sample();
  }
  Arrays.sort(data);
  NormalDistribution reference = new NormalDistribution(RandomUtils.getRandom().getRandomGenerator(),
                                                        0, 1,
                                                        NormalDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
  assertEquals("Median", reference.inverseCumulativeProbability(0.5), data[5000], 0.04);
}