import javastat.inference.twosamples.TwoSampMeansZTest;

/**

*

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

*/

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};

testclass1 = new TwoSampMeansZTest(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 TwoSampMeansZTest();

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 = -13.402

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

The confidence interval based on non-null constructor = [-35.745 , -26.624]

The test statistic based on null constructor = -13.402

The p-value based on null constructor = 1.0

The confidence interval based on null constructor = [-35.745 , -26.624]

See also:

Estimation of the Difference between the Means,

Hypothesis Test about the Difference