import static java.lang.System.out;

import java.util.*;

import javastat.*;

import javastat.inference.onesample.*;

import static javastat.util.Argument.*;

import static javastat.util.Output.*;

import javastat.util.*;

/**

*

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

* <p>Data Source: Anderson, D. R., Sweeney, D. J. and Williams, T. A. (2001).

* Contemporary Business Statistics with Microsoft Excel. South-Western,

* p. 340. </p>

*/

public class OneSampMeanZTestExample

{

public static void main(String arg[])

{

double[] testdata = {86, 97, 159, 92, 146, 138, 101, 87, 151, 69,

97, 79, 103, 104, 104, 105, 105, 102, 112, 116,

118, 124, 125, 129, 132, 98, 88, 68, 135, 100};

DataManager dm = new DataManager();

OneSampMeanZTest testclass1 =

new OneSampMeanZTest(0.05, 100, "equal", testdata);

double testStatistic = testclass1.testStatistic;

double pValue = testclass1.pValue;

double lowerBound = testclass1.confidenceInterval[0];

double upperBound = testclass1.confidenceInterval[1];

OneSampMeanZTest testclass2 = new OneSampMeanZTest();

double[] confidenceInterval = testclass2.confidenceInterval(0.05,

testdata);

testStatistic = testclass2.testStatistic(100, testdata);

pValue = testclass2.pValue(100, "greater", testdata);

Hashtable argument1 = new Hashtable();

argument1.put(NULL_VALUE, 100.0);

argument1.put(SIDE, "equal");

argument1.put(ALPHA, 0.05);

StatisticalAnalysis testclass3 = new OneSampMeanZTest(argument1,

testdata).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();

OneSampMeanZTest testclass4 =

new OneSampMeanZTest(argument2, null);

argument2.put(ALPHA, 0.05);

confidenceInterval = testclass4.

confidenceInterval(argument2, testdata);

argument2.put(NULL_VALUE, 100.0);

testStatistic = testclass4.testStatistic(argument2, testdata);

argument2.put(SIDE, "greater");

pValue = testclass4.pValue(argument2, testdata);

}

}

Results:

The test statistic based on non-null constructor = 2.143

The p-value based on non-null constructor = 0.032

The confidence interval based on non-null constructor = [100.769 , 117.231]

{POINT_ESTIMATE_SE=4.2, TEST_STATISTIC=2.143, PVALUE=0.0321,

POINT_ESTIMATE=109.0, CONFIDENCE_INTERVAL=[D@6ca1c}

Description: the p-value;

Classes: all classes in packages nonparametric, onesample, twosamples and

survival.inference, ChisqTest, OneWayANOVA, StatisticalInferenceTemplate,

LinearRegression, CoxRegression

The test statistic based on null constructor = 2.143

The p-value based on null constructor = 0.016

The confidence interval based on null constructor = [100.769 , 117.231]

{TEST_STATISTIC=2.143, PVALUE=0.0161,

CONFIDENCE_INTERVAL=[D@1bf216a}

See also:

Population Mean: Large Sample Case,

One-Tailed Tests about a Population Mean: Large Sample Case,

Modern Approach: P-value,

Two-Tailed Tests about a Population Mean: Large Sample Case