public static class StudentTConfidence.Statistic extends AbstractConfidenceStatistic
nullHypothesisProbability
Constructor and Description 

Statistic(double t,
double degreesOfFreedom)
Creates a new instance of Statistic

Statistic(StudentTConfidence.Statistic other)
Copy Constructor

Modifier and Type  Method and Description 

StudentTConfidence.Statistic 
clone()
This makes public the clone method on the
Object class and
removes the exception that it throws. 
double 
getDegreesOfFreedom()
Getter for degreesOfFreedom

double 
getT()
Getter for t

double 
getTestStatistic()
Gets the statistic from which we compute the nullhypothesis probability.

protected void 
setDegreesOfFreedom(double degreesOfFreedom)
Setter for degreesOfFreedom

protected void 
setT(double t)
Setter for t

static double 
twoTailTStatistic(double t,
double degreesOfFreedom)
Computes the likelihood that a StudentTDistribution would generate
a LESS LIKELY sample as "t", given the degrees of freedom.

getNullHypothesisProbability, setNullHypothesisProbability, toString
public Statistic(double t, double degreesOfFreedom)
t
 Value that is used in the Studentt CDF to compute the probability.
Usually just called the "tstatistic"degreesOfFreedom
 Number of degrees of freedom in the Studentt distribution, usually
the number of data points  1public Statistic(StudentTConfidence.Statistic other)
other
 Statistic to copypublic StudentTConfidence.Statistic clone()
AbstractCloneableSerializable
Object
class and
removes the exception that it throws. Its default behavior is to
automatically create a clone of the exact type of object that the
clone is called on and to copy all primitives but to keep all references,
which means it is a shallow copy.
Extensions of this class may want to override this method (but call
super.clone()
to implement a "smart copy". That is, to target
the most common use case for creating a copy of the object. Because of
the default behavior being a shallow copy, extending classes only need
to handle fields that need to have a deeper copy (or those that need to
be reset). Some of the methods in ObjectUtil
may be helpful in
implementing a custom clone method.
Note: The contract of this method is that you must use
super.clone()
as the basis for your implementation.clone
in interface CloneableSerializable
clone
in class AbstractCloneableSerializable
public static double twoTailTStatistic(double t, double degreesOfFreedom)
t
 Sample to determine how likely a worse sample is than "t"degreesOfFreedom
 Number of degrees of freedom in the Studentt distributionpublic double getT()
protected void setT(double t)
t
 Value that is used in the Studentt CDF to compute the probability.
Usually just called the "tstatistic"public double getDegreesOfFreedom()
protected void setDegreesOfFreedom(double degreesOfFreedom)
degreesOfFreedom
 Number of degrees of freedom in the Studentt distribution, usually
the number of data points  1public double getTestStatistic()
ConfidenceStatistic