import static java.lang.System.out;

import java.util.*;

 

import javastat.*;

import javastat.inference.twosamples.*;

import static javastat.util.Argument.*;

import static javastat.util.Output.*;

import javastat.util.*;

 

/**

 *

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

 */

 

public class TwoSampPropsExample

{

 

    public static void main(String arg[])

    {

        DataManager dm = new DataManager();

        TwoSampProps testclass1 =

new TwoSampProps(0.05, 0, "less", 36, 150, 30, 100);

        double testStatistic = testclass1.testStatistic;

        double pValue = testclass1.pValue;

        double lowerBound = testclass1.confidenceInterval[0];

        double upperBound = testclass1.confidenceInterval[1];

 

        TwoSampProps testclass2 = new TwoSampProps();

        double[] confidenceInterval = testclass2.confidenceInterval(0.05, 36,

                150, 30, 100);

        testStatistic = testclass2.testStatistic(0, 36, 150, 30, 100);

        pValue = testclass2.pValue(0.5, "greater", 36, 150, 30, 100);

 

        Hashtable argument1 = new Hashtable();

        argument1.put(NULL_VALUE, 0);

        argument1.put(SIDE, "equal");

        argument1.put(ALPHA, 0.05);

        StatisticalAnalysis testclass3 = new TwoSampProps(argument1, 36, 150,

                30, 100).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();

        TwoSampProps testclass4 = new TwoSampProps(argument2, null);

        argument2.put(ALPHA, 0.05);

        confidenceInterval = testclass4.confidenceInterval(argument2, 36, 150,

                30, 100);

        argument2.put(NULL_VALUE, 0);

        testStatistic = testclass4.testStatistic(argument2, 36, 150, 30, 100);

        argument2.put(SIDE, "greater");

        pValue = testclass4.pValue(argument2, 36, 150, 30, 100);

    }

 

}

 

Results:

The test statistic based on non-null constructor         =  -1.054

The p-value based on non-null constructor             =  0.292

The confidence interval based on non-null constructor   = [-0.173 , 0.053]

 

{TEST_STATISTIC=-1.054, PROPORTION_H0=0.264, PVALUE=0.292,

PROPORTION_DIFFERENCE_SE_H0=0.0569,

CONFIDENCE_INTERVAL=[D@e0e1c6, POINT_ESTIMATE_SE=0.0569,

POINT_ESTIMATE=-0.06}

 

The test statistic based on null constructor             =  -1.054

The p-value based on null constructor                 =  0.854

The confidence interval based on null constructor       = [-0.173 , 0.053]

 

{TEST_STATISTIC=-1.054, PROPORTION_H0=0.264, PVALUE=0.854,

PROPORTION_DIFFERENCE_SE_H0=0.0569,

CONFIDENCE_INTERVAL=[D@1bf216a, POINT_ESTIMATE_SE=0.0569,

POINT_ESTIMATE=-0.06}

 

See also:

Estimation and Hypothesis Testing for the Difference

between the Proportions of Two Populations