描述

用于兩個(gè)總體均值之間的比較。

Demo

public class TtestDemo {

    /**
     * two-sided test
     * @param args
     */
    public static void main(String[] args) {
        double[] x= {300,280,344,385,372,360,288,321,376,290,301,283};
        double[] y= {274,220,308,336,198,300,315,258,318,310,332,263};
        Ttest t=new Ttest(x, y);
        System.out.println(t.getPValue());

    }

}

實(shí)現(xiàn)代碼

package com.math.statistics;
import org.apache.commons.math3.stat.descriptive.moment.StandardDeviation;

import JSci.maths.statistics.TDistribution;
/***
 * @author miaoyibo
 *
 */
public class Ttest {
    
    private double[] x;
    
    private double[] y;
    StandardDeviation standardDeviation =new StandardDeviation();
    
    public Ttest(double[] x, double[] y) {
        super();
        this.x = x;
        this.y = y;
    }
    public int getXSize() {
        return x==null?0:x.length;
    }
    public int getYSize() {
        return y==null?0:y.length;
    }
    public double getXMean() {
        int n=x.length;
        double sum=0;
        for (double d : x) {
            sum=sum+d;
        }
        return sum/n;
    }
    public double getYMean() {
        int n=y.length;
        double sum=0;
        for (double d : y) {
            sum=sum+d;
        }
        return sum/n;
    }
    public double getStandard(double[] x) {
        return standardDeviation.evaluate(x);
    }
    public double calculateTvalue() {
        double a=getXMean()-getYMean();
        double q1=getStandard(x);
        double q2=getStandard(y);
        double s1=q1*q1;
        double s2=q2*q2;
        double b=Math.sqrt(s1/x.length+s2/y.length);
        return a/b;
    }
    public int getDegreesOfFreedom() {
        double q1=getStandard(x);
        double q2=getStandard(y);
        double s1=q1*q1;
        double s2=q2*q2;
        double a=(s1/x.length+s2/y.length)*(s1/x.length+s2/y.length);
        double b=((s1/x.length)*(s1/x.length))/(x.length-1)+((s2/y.length)*(s2/y.length))/(y.length-1);
        Double free=a/b;
        return free.intValue();
    }
    public double getPValue() {
        int free=getDegreesOfFreedom();
        double t=calculateTvalue();
        TDistribution td=new TDistribution(free);
        double cumulative = td.cumulative(t);
        double p;
        if(t>0) {
            p=(1-cumulative)*2;
        }else {
            p=cumulative*2;
        }
        return p;
    }
}