javanpst.tests.oneSample.populationQuantile

Class PopulationQuantile

java.lang.Object

javanpst.tests.StatisticalTest

javanpst.tests.oneSample.populationQuantile.PopulationQuantile

public class PopulationQuantile
extends StatisticalTest

A procedure to testing hypotheses about population quantiles. This test allows to test an hypothesis value for a given population quantile and a given sample. A binomial distribution is used to compute left tail p-value (true value of the quantile is greater than the estimation), right tail p-value (true value is lower than the estimation), and double tail p-value (true value is distinct than the estimation).

Constructor Summary

Constructors

Constructor and Description
PopulationQuantile() Default builder
PopulationQuantile(NumericSequence newSequence, double quantile, double value) Builder.

Method Summary

Modifier and Type	Method and Description
void	clearData() Clears the data stored in the test
void	doTest() Performs the test
double	getExactDoublePValue() Get double tail exact p-value
double	getExactLeftPValue() Get left tail exact p-value
double	getExactRightPValue() Get right tail exact p-value
double	getK() Get K statistic
java.lang.String	printData() Prints the data stored in the test
java.lang.String	printReport() Prints a report with the results of the test
void	setConfidence(double value) Set hypothesis value
void	setData(NumericSequence newSequence, double quantile, double value) Sets data and all the necessary parameters of the test
void	setQuantile(double p) Set quantile to estimate

Methods inherited from class javanpst.tests.StatisticalTest

isDataReady, isPerformed

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

PopulationQuantile

public PopulationQuantile()

Default builder

PopulationQuantile

public PopulationQuantile(NumericSequence newSequence,
                          double quantile,
                          double value)

Builder. Set data and all the necessary parameters of the test.

Parameters:

newSequence - sample data

quantile - quantile to test

value - hyphotesis value

Method Detail

clearData

public void clearData()

Clears the data stored in the test

Specified by:

clearData in class StatisticalTest

setData

public void setData(NumericSequence newSequence,
                    double quantile,
                    double value)

Sets data and all the necessary parameters of the test

Parameters:

newSequence - sample data

quantile - quantile to test

value - hyphotesis value

setQuantile

public void setQuantile(double p)

Set quantile to estimate

Parameters:

p - quantile

setConfidence

public void setConfidence(double value)

Set hypothesis value

Parameters:

value - hypothesis value

doTest

public void doTest()

Performs the test

Specified by:

doTest in class StatisticalTest

getK

public double getK()

Get K statistic

Returns:

K statistic

getExactLeftPValue

public double getExactLeftPValue()

Get left tail exact p-value

Returns:

left tail p-value computed

getExactRightPValue

public double getExactRightPValue()

Get right tail exact p-value

Returns:

right tail p-value computed

getExactDoublePValue

public double getExactDoublePValue()

Get double tail exact p-value

Returns:

double tail p-value computed

printData

public java.lang.String printData()

Prints the data stored in the test

Specified by:

printData in class StatisticalTest

Returns:

Data stored

printReport

public java.lang.String printReport()

Prints a report with the results of the test

Specified by:

printReport in class StatisticalTest

Returns:

Output report