Two Independent Sample T-Test
/*
July 2006. Annie Che <chea@stat.ucla.edu>. UCLA Statistics.
Source of example data:
Mathematical Statistics and Data Analysis, John Rice, Second Edition.
Page 390, example A, determination of the laten heat of fusion of ice.
*/
package edu.ucla.stat.SOCR.analyses.example;
import java.util.HashMap;
import edu.ucla.stat.SOCR.analyses.data.Data;
import edu.ucla.stat.SOCR.analyses.result.TwoIndependentTResult;
public class TwoIndependentTExample {
public static void main(String args[]) {
double[] methodA =
{79.98, 80.04, 80.02, 80.04, 80.03, 80.03,
80.04, 79.97, 80.05, 80.03, 80.02, 80.00, 80.02};
double[] methodB =
{80.02, 79.94, 79.98, 79.97, 79.97, 80.03, 79.95, 79.97};
// you'll need to instantiate a data instance first.
Data data = new Data();
// then use the following line to get the result.
try {
TwoIndependentTResult result =
(TwoIndependentTResult) data.modelTwoIndependentT(methodA, methodB);
//* modelTwoIndependentT:
order of first and second argumentd does NOT matter. */
if (result != null) {
// Getting the model's parameter estiamtes and statistics.
double meanX = result.getMeanX();
double meanY = result.getMeanY();
// sum of variance of x and variance of y.
double sampleVar = result.getSampleVariance();
int degreesFreedome = result.getDF();
double tStat = result.getTStat();
String pValue = result.getPValue();
System.out.println("meanX = " + meanX);
System.out.println("meanY = " + meanY);
System.out.println("sampleVar = " + sampleVar);
System.out.println("degreesFreedome = " + degreesFreedome);
System.out.println("tStat = " + tStat);
System.out.println("pValue = " + pValue);
}
} catch (Exception e) {
System.out.println(e);
}
}
}
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