import static java.lang.System.out;

import java.util.*;

import javastat.*;

import javastat.inference.twosamples.*;

import static javastat.util.Argument.*;

import static javastat.util.Output.*;

import javastat.util.*;

/**

*

* <p>Example: class MatchedSampMeansZTest.</p>

*/

public class MatchedSampMeansZTestExample

{

public static void main(String arg[])

{

double[] testdata1 = {30, 40, 28, 5, 28, 29, 38, 36, 23, 22, 51, 33, 35,

42, 21, 31, 44, 32, 30, 32, 30, 30, 45, 29, 35,

33, 40, 31, 37, 41, 34, 40, 29, 42, 17, 29, 34, 39};

double[] testdata2 = {60, 68, 63, 37, 57, 52, 63, 68, 47, 44, 74, 71,

83, 92, 66, 64, 62, 73, 62, 51, 77, 77, 71, 53,

72, 58, 70, 58, 72, 81, 64, 60, 60, 72, 40, 61, 58, 69};

DataManager dm = new DataManager();

MatchedSampMeansZTest testclass1 =

new MatchedSampMeansZTest(0.05, 0, "equal", testdata1,

testdata2);

double testStatistic = testclass1.testStatistic;

double pValue = testclass1.pValue;

double lowerBound = testclass1.confidenceInterval[0];

double upperBound = testclass1.confidenceInterval[1];

MatchedSampMeansZTest testclass2 =

new MatchedSampMeansZTest();

double[] confidenceInterval = testclass2.confidenceInterval(0.05,

testdata1, testdata2);

testStatistic = testclass2.testStatistic(0, testdata1, testdata2);

pValue = testclass2.pValue(0, "greater", testdata1, testdata2);

Hashtable argument1 = new Hashtable();

argument1.put(ALPHA, 0.05);

argument1.put(NULL_VALUE, 0);

argument1.put(SIDE, "equal");

StatisticalAnalysis testclass3 =

new MatchedSampMeansZTest(argument1, testdata1, testdata2).

statisticalAnalysis;

testStatistic = (Double) testclass3.output.get(TEST_STATISTIC);

pValue = (Double) testclass3.output.get(PVALUE);

confidenceInterval = (double[]) testclass3.output.get(

CONFIDENCE_INTERVAL);

lowerBound = confidenceInterval[0];

upperBound = confidenceInterval[1];

Hashtable argument2 = new Hashtable();

MatchedSampMeansZTest testclass4 =

new MatchedSampMeansZTest(argument2, null);

argument2.put(ALPHA, 0.05);

confidenceInterval = testclass4.confidenceInterval(

argument2, testdata1, testdata2);

argument2.put(NULL_VALUE, 0);

testStatistic = testclass4.testStatistic(argument2, testdata1,

testdata2);

argument2.put(SIDE, "greater");

pValue = testclass4.pValue(argument2, testdata1, testdata2);

}

}

Results:

The test statistic based on non-null constructor = -22.724

The p-value based on non-null constructor = 0.0

The confidence interval based on non-null constructor = [-33.874 , -28.495]

{POINT_ESTIMATE_SE=1.372, TEST_STATISTIC=-22.724, PVALUE=0.0,

POINT_ESTIMATE=-31.184, CONFIDENCE_INTERVAL=[D@1389e4}

The test statistic based on null constructor = -22.724

The p-value based on null constructor = 1.0

The confidence interval based on null constructor = [-33.874 , -28.495]

{TEST_STATISTIC=-22.72438628221745, PVALUE=1.0,

CONFIDENCE_INTERVAL=[D@c20e24}

See also:

Inference about the Difference: Match Samples