//Licensed to the Apache Software Foundation (ASF) under one //or more contributor license agreements. See the NOTICE file //distributed with this work for additional information //regarding copyright ownership. The ASF licenses this file //to you under the Apache License, Version 2.0 (the //"License"); you may not use this file except in compliance //with the License. You may obtain a copy of the License at //http://www.apache.org/licenses/LICENSE-2.0 //Unless required by applicable law or agreed to in writing, //software distributed under the License is distributed on an //"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY //KIND, either express or implied. See the License for the //specific language governing permissions and limitations //under the License. package org.apache.commons.math4.random; import org.apache.commons.math4.random.GaussianRandomGenerator; import org.apache.commons.rng.simple.RandomSource; import org.apache.commons.math4.stat.StatUtils; import org.junit.Assert; import org.junit.Test; public class GaussianRandomGeneratorTest { @Test public void testMeanAndStandardDeviation() { GaussianRandomGenerator generator = new GaussianRandomGenerator(RandomSource.create(RandomSource.MT, 17399225432l)); double[] sample = new double[10000]; for (int i = 0; i < sample.length; ++i) { sample[i] = generator.nextNormalizedDouble(); } Assert.assertEquals(0.0, StatUtils.mean(sample), 0.012); Assert.assertEquals(1.0, StatUtils.variance(sample), 0.01); } }