import javastat.inference.ChisqTest;

/**

*

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

*/

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"};

testclass1 = new ChisqTest(chisqdata1);

testStatistic = testclass1.testStatistic;

pValue = testclass1.pValue;

print("The test statistic (non-null constructor) = " + testStatistic);

print("The p-value based (non-null constructor) = " + pValue);

testclass2 = new ChisqTest();

testStatistic = testclass2.testStatistic(colvar, rowvar);

pValue = testclass2.pValue(colvar, rowvar);

print("The test statistic (null constructor) = " + testStatistic);

print("The p-value based (null constructor) = " + pValue);

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