public class TTest
extends java.lang.Object
Among the most frequently used t tests are:
Modifier and Type  Field and Description 

double 
df
The degree of freedom of tstatistic.

java.lang.String 
method
A character string indicating what type of test was performed.

double 
pvalue
pvalue

double 
t
tstatistic

Modifier and Type  Method and Description 

static TTest 
test(double[] x,
double mean)
Independent onesample ttest whether the mean of a normally distributed
population has a value specified in a null hypothesis.

static TTest 
test(double[] x,
double[] y)
Test if the arrays x and y have significantly different means.

static TTest 
test(double[] x,
double[] y,
boolean equalVariance)
Test if the arrays x and y have significantly different means.

static TTest 
test(double r,
int df)
Test whether the Pearson correlation coefficient, the slope of
a regression line, differs significantly from 0.

static TTest 
testPaired(double[] x,
double[] y)
Given the paired arrays x and y, test if they have significantly
different means.

java.lang.String 
toString() 
public final java.lang.String method
public final double df
public final double t
public final double pvalue
public java.lang.String toString()
toString
in class java.lang.Object
public static TTest test(double[] x, double mean)
public static TTest test(double[] x, double[] y)
public static TTest test(double[] x, double[] y, boolean equalVariance)
equalVariance
 true if the data arrays are assumed to be
drawn from populations with the same true variance. Otherwise, The data
arrays are allowed to be drawn from populations with unequal variances.public static TTest testPaired(double[] x, double[] y)
public static TTest test(double r, int df)
r
 the Pearson correlation coefficient.df
 the degree of freedom. df = n  2, where n is the number of samples
used in the calculation of r.