import javastat.inference.twosamples.MatchedSampMeansTTest;

/**

*

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

*/

double[] testdata1 = {51, 22, 17, 11, 28, 17, 5, 21, 22, 10};

double[] testdata2 = {32, 14, 9, 8, 28, 11, 3, 23, 12, 14};

testclass1 = new MatchedSampMeansTTest(0.05, 0, "equal", testdata1,

testdata2);

testStatistic = testclass1.testStatistic;

pValue = testclass1.pValue;

lowerBound = testclass1.confidenceInterval[0];

upperBound = testclass1.confidenceInterval[1];

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

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

print("The confidence interval (non-null constructor) = [" +

lowerBound + " , " + upperBound + "]");

testclass2 = new MatchedSampMeansTTest();

confidenceInterval = testclass2.confidenceInterval(0.05, testdata1, testdata2);

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

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

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

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

print("The confidence interval (null constructor) = [" +

confidenceInterval[0] + " , " + confidenceInterval[1] + "]");

Results:

The test statistic based on non-null constructor = 2.348

The p-value based on non-null constructor = 0.043

The confidence interval based on non-null constructor = [0.183 , 9.817]

The test statistic based on null constructor = 2.348

The p-value based on null constructor = 0.022

The confidence interval based on null constructor = [0.183 , 9.817]

See also:

Inference about the Difference: Match Samples