01: /*
02: * Copyright 2003-2004 The Apache Software Foundation.
03: *
04: * Licensed under the Apache License, Version 2.0 (the "License");
05: * you may not use this file except in compliance with the License.
06: * You may obtain a copy of the License at
07: *
08: * http://www.apache.org/licenses/LICENSE-2.0
09: *
10: * Unless required by applicable law or agreed to in writing, software
11: * distributed under the License is distributed on an "AS IS" BASIS,
12: * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13: * See the License for the specific language governing permissions and
14: * limitations under the License.
15: */
16: package org.apache.commons.math.stat.descriptive.moment;
17:
18: import junit.framework.Test;
19: import junit.framework.TestSuite;
20:
21: import org.apache.commons.math.stat.descriptive.StorelessUnivariateStatisticAbstractTest;
22: import org.apache.commons.math.stat.descriptive.UnivariateStatistic;
23:
24: /**
25: * Test cases for the {@link UnivariateStatistic} class.
26: * @version $Revision: 155427 $ $Date: 2005-02-26 06:11:52 -0700 (Sat, 26 Feb 2005) $
27: */
28: public class MeanTest extends StorelessUnivariateStatisticAbstractTest {
29:
30: protected Mean stat;
31:
32: /**
33: * @param name
34: */
35: public MeanTest(String name) {
36: super (name);
37: }
38:
39: public static Test suite() {
40: TestSuite suite = new TestSuite(MeanTest.class);
41: suite.setName("Mean Tests");
42: return suite;
43: }
44:
45: /* (non-Javadoc)
46: * @see org.apache.commons.math.stat.descriptive.UnivariateStatisticAbstractTest#getUnivariateStatistic()
47: */
48: public UnivariateStatistic getUnivariateStatistic() {
49: return new Mean();
50: }
51:
52: /* (non-Javadoc)
53: * @see org.apache.commons.math.stat.descriptive.UnivariateStatisticAbstractTest#expectedValue()
54: */
55: public double expectedValue() {
56: return this .mean;
57: }
58:
59: public void testSmallSamples() {
60: Mean mean = new Mean();
61: assertTrue(Double.isNaN(mean.getResult()));
62: mean.increment(1d);
63: assertEquals(1d, mean.getResult(), 0);
64: }
65:
66: }
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