1 /*
2 * Licensed to the Apache Software Foundation (ASF) under one or more
3 * contributor license agreements. See the NOTICE file distributed with
4 * this work for additional information regarding copyright ownership.
5 * The ASF licenses this file to You under the Apache License, Version 2.0
6 * (the "License"); you may not use this file except in compliance with
7 * the License. You may obtain a copy of the License at
8 *
9 * http://www.apache.org/licenses/LICENSE-2.0
10 *
11 * Unless required by applicable law or agreed to in writing, software
12 * distributed under the License is distributed on an "AS IS" BASIS,
13 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14 * See the License for the specific language governing permissions and
15 * limitations under the License.
16 */
17 package org.apache.commons.math.stat.descriptive.moment;
18
19 import junit.framework.Test;
20 import junit.framework.TestSuite;
21
22 import org.apache.commons.math.stat.descriptive.StorelessUnivariateStatisticAbstractTest;
23 import org.apache.commons.math.stat.descriptive.UnivariateStatistic;
24
25 /**
26 * Test cases for the {@link UnivariateStatistic} class.
27 * @version $Revision: 480442 $ $Date: 2006-11-29 00:21:22 -0700 (Wed, 29 Nov 2006) $
28 */
29 public class MeanTest extends StorelessUnivariateStatisticAbstractTest{
30
31 protected Mean stat;
32
33 /**
34 * @param name
35 */
36 public MeanTest(String name) {
37 super(name);
38 }
39
40 public static Test suite() {
41 TestSuite suite = new TestSuite(MeanTest.class);
42 suite.setName("Mean Tests");
43 return suite;
44 }
45
46 /* (non-Javadoc)
47 * @see org.apache.commons.math.stat.descriptive.UnivariateStatisticAbstractTest#getUnivariateStatistic()
48 */
49 public UnivariateStatistic getUnivariateStatistic() {
50 return new Mean();
51 }
52
53 /* (non-Javadoc)
54 * @see org.apache.commons.math.stat.descriptive.UnivariateStatisticAbstractTest#expectedValue()
55 */
56 public double expectedValue() {
57 return this.mean;
58 }
59
60 public void testSmallSamples() {
61 Mean mean = new Mean();
62 assertTrue(Double.isNaN(mean.getResult()));
63 mean.increment(1d);
64 assertEquals(1d, mean.getResult(), 0);
65 }
66
67 }