import static java.lang.System.out;

import java.util.*;

import javastat.*;

import javastat.inference.*;

import static javastat.util.Output.*;

import javastat.util.*;

/**

*

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

*/

public class ChisqTestExample

{

public static void main(String arg[])

{

double[][] chisqdata1 = { {29, 22}, {95, 121}, {518, 135} };

String[] colvar = {"M", "F", "M", "M", "M", "F", "F", "M", "F",

"M", "F", "F", "M", "F", "M", "M", "F", "F",

"M", "F", "M", "F", "F", "F", "F", "F", "M",

"F", "M", "F", "F", "M", "M", "F", "M", "F",

"F", "F", "M", "F", "F", "F", "M", "M", "F",

"F", "F", "M", "F", "F"};

String[] rowvar = {"Editor", "AE", "Referee", "Editor", "Editor",

"AE", "AE", "AE", "AE", "Editor", "Editor",

"AE", "AE", "AE", "Referee", "Referee", "AE",

"AE", "AE", "Editor", "Referee", "Referee",

"Editor", "AE", "AE", "AE", "Referee", "Editor",

"AE", "Referee", "Referee", "Referee", "Referee",

"AE", "Referee", "AE", "Editor", "AE", "Referee",

"AE", "Editor", "Referee", "Editor", "Referee", "AE",

"AE", "Referee", "Editor", "Editor", "AE"};

DataManager dm = new DataManager();

ChisqTest testclass1 = new ChisqTest(chisqdata1);

double testStatistic = testclass1.testStatistic;

double pValue = testclass1.pValue;

out.println(

"The test statistic based on non-null constructor for data " +

"set I = " + dm.roundDigits(testStatistic, 3.0));

out.println(

"The p-value based on non-null constructor for data set I" +

" = " + dm.roundDigits(pValue, 3.0));

ChisqTest testclass2 = new ChisqTest();

testStatistic = testclass2.testStatistic(colvar, rowvar);

pValue = testclass2.pValue(colvar, rowvar);

out.println(

"\n\nThe test statistic based on null constructor for data" +

" set II = " + dm.roundDigits(testStatistic, 3.0));

out.println(

"The p-value based on null constructor for data set II" +

" = " + dm.roundDigits(pValue, 3.0));

Hashtable argument = new Hashtable();

StatisticalAnalysis testclass3 = new ChisqTest(argument, chisqdata1).

statisticalAnalysis;

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

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

out.println(

"\n\nThe test statistic based on non-null constructor for " +

"data set I = " + dm.roundDigits(testStatistic, 3.0));

out.println(

"The p-value based on non-null constructor for data set I" +

" = " + dm.roundDigits(pValue, 3.0));

out.println("\n\n" + testclass3.output.toString());

ChisqTest testclass4 = new ChisqTest(argument, null);

testStatistic = testclass4.testStatistic(argument, colvar, rowvar);

pValue = testclass4.pValue(argument, colvar, rowvar);

out.println(

"\n\nThe test statistic based on null constructor for data" +

" set II = " + dm.roundDigits(testStatistic, 3.0));

out.println(

"The p-value based on null constructor for data set II" +

" = " +

dm.roundDigits(pValue, 3.0));

out.println("\n\n" + testclass4.output.toString());

}

}

Results:

The test statistic based on non-null constructor for data set I = 100.434

The p-value based on non-null constructor for data set I = 0.0

The test statistic based on null constructor for data set II = 9.013

The p-value based on null constructor for data set II = 0.011

See also:

Hypothesis Test: Multinomial Population,

Test of Independence: Contingency Tables