edu.ucla.stat.SOCR.experiments

Class MeanEstimateExperiment

java.lang.Object

edu.ucla.stat.SOCR.core.SOCRValueSettable

edu.ucla.stat.SOCR.core.MultiplePartsPanel

edu.ucla.stat.SOCR.core.Experiment

edu.ucla.stat.SOCR.experiments.MeanEstimateExperiment

All Implemented Interfaces:

IExperiment, IValueSettable, Pluginable, java.awt.event.ActionListener, java.awt.event.ItemListener, java.awt.event.MouseListener, java.awt.event.MouseMotionListener, java.lang.Runnable, java.util.EventListener, java.util.Observer

public class MeanEstimateExperiment
extends Experiment

This class models the interval estimation experiment in the standard normal model.

Nested Class Summary

Nested classes/interfaces inherited from class edu.ucla.stat.SOCR.core.MultiplePartsPanel

MultiplePartsPanel.SOCRToolBar

Field Summary

Fields

Modifier and Type	Field and Description
static int	INTERVAL
static int	LOWER_BOUND
static int	NORMAL
static int	STUDENT
static int	UPPER_BOUND

Fields inherited from class edu.ucla.stat.SOCR.core.Experiment

showModelDistribution

Fields inherited from class edu.ucla.stat.SOCR.core.MultiplePartsPanel

applet, fName, graphs, mainPane, recordTable, tables, toolbar, toolbars

Constructor Summary

Constructors

Constructor and Description
MeanEstimateExperiment() This method initializes the experiment, including the toolbars with scrollbars and labels for changing parameters, choices for the sampling distribution, interval type, and confidence level, graphs and tables for the sampling variable, the standard score variable, and the success variable.

Method Summary

Methods

Modifier and Type	Method and Description
void	doExperiment() This method defines the experiment.
void	initialize() used for some sublcass to initialize before be used
void	itemStateChanged(java.awt.event.ItemEvent event) This method handles the choice events, associated with the update and stop choices.
void	reset() This method resets the experiment, including the sampling variable, standard score variable and success variable, and the corresponding graphs and tables.
void	setDistribution() This method sets the distribution.
void	setParameters() This method sets the parameters.
void	update() This method updates the experiment, including the graphs and tables.
void	update(java.util.Observable o, java.lang.Object arg) This method handles the scroll events associated with changing the distribution parameters.

Methods inherited from class edu.ucla.stat.SOCR.core.Experiment

actionPerformed, getAppletInfo, getDisplayPane, getInstance, getName, getOnlineDescription, getResultTable, getStopChoice, getStopFreq, getTime, getUpdateChoice, graphUpdate, resetUpdateCount, run, setShowModelDistribution, setStopFreq, setStopNow, step, stop

Methods inherited from class edu.ucla.stat.SOCR.core.MultiplePartsPanel

addGraph, addTable, addTool, addTool2, addToolbar, format, getMainPanel, getRecordTable, getTextPanel, mouseClicked, mouseDragged, mouseEntered, mouseExited, mouseMoved, mousePressed, mouseReleased, play, setApplet, setName

Methods inherited from class edu.ucla.stat.SOCR.core.SOCRValueSettable

createComponentSetter, createValueSetter, createValueSetter, createValueSetter, createValueSetter, getComponentSetter, getComponentSetters, getValueSetter, getValueSetters

Methods inherited from class java.lang.Object

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

Methods inherited from interface edu.ucla.stat.SOCR.core.Pluginable

setApplet

Field Detail

INTERVAL

public static final int INTERVAL

See Also:

Constant Field Values

LOWER_BOUND

public static final int LOWER_BOUND

See Also:

Constant Field Values

UPPER_BOUND

public static final int UPPER_BOUND

See Also:

Constant Field Values

NORMAL

public static final int NORMAL

See Also:

Constant Field Values

STUDENT

public static final int STUDENT

See Also:

Constant Field Values

Constructor Detail

MeanEstimateExperiment

public MeanEstimateExperiment()

This method initializes the experiment, including the toolbars with scrollbars and labels for changing parameters, choices for the sampling distribution, interval type, and confidence level, graphs and tables for the sampling variable, the standard score variable, and the success variable.

Method Detail

initialize

public void initialize()

Description copied from class: Experiment

used for some sublcass to initialize before be used

Specified by:

initialize in interface IExperiment

Overrides:

initialize in class Experiment

reset

public void reset()

This method resets the experiment, including the sampling variable, standard score variable and success variable, and the corresponding graphs and tables.

Specified by:

reset in interface IExperiment

Overrides:

reset in class Experiment

doExperiment

public void doExperiment()

This method defines the experiment. The sample from the sampling distribution is simulated, the confidence interval is computed.

Specified by:

doExperiment in interface IExperiment

Overrides:

doExperiment in class Experiment

itemStateChanged

public void itemStateChanged(java.awt.event.ItemEvent event)

Description copied from class: Experiment

This method handles the choice events, associated with the update and stop choices.

Specified by:

itemStateChanged in interface java.awt.event.ItemListener

Overrides:

itemStateChanged in class Experiment

update

public void update(java.util.Observable o,
          java.lang.Object arg)

This method handles the scroll events associated with changing the distribution parameters.

Specified by:

update in interface java.util.Observer

Overrides:

update in class MultiplePartsPanel

update

public void update()

This method updates the experiment, including the graphs and tables.

Specified by:

update in interface IExperiment

Overrides:

update in class Experiment

setParameters

public void setParameters()

This method sets the parameters.

setDistribution

public void setDistribution()

This method sets the distribution.