/* GeoGebra - Dynamic Mathematics for Everyone http://www.geogebra.org This file is part of GeoGebra. This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation. */ package org.geogebra.common.kernel.statistics; import org.apache.commons.math3.distribution.NormalDistribution; import org.geogebra.common.kernel.Construction; import org.geogebra.common.kernel.algos.AlgoElement; import org.geogebra.common.kernel.commands.Commands; import org.geogebra.common.kernel.geos.GeoElement; import org.geogebra.common.kernel.geos.GeoList; import org.geogebra.common.kernel.geos.GeoNumeric; /** * * * @author G. Sturr */ public class AlgoZProportionEstimate extends AlgoElement { private GeoNumeric proportion, n, level; // input private GeoList result; // output private double se; private double me; /** * @param cons * @param label * @param proportion * @param n * @param level */ public AlgoZProportionEstimate(Construction cons, String label, GeoNumeric proportion, GeoNumeric n, GeoNumeric level) { this(cons, proportion, n, level); result.setLabel(label); } public AlgoZProportionEstimate(Construction cons, GeoNumeric proportion, GeoNumeric n, GeoNumeric level) { super(cons); this.proportion = proportion; this.n = n; this.level = level; result = new GeoList(cons); setInputOutput(); // for AlgoElement compute(); } @Override public Commands getClassName() { return Commands.ZProportionEstimate; } @Override protected void setInputOutput() { input = new GeoElement[3]; input[0] = proportion; input[1] = n; input[2] = level; setOnlyOutput(result); setDependencies(); // done by AlgoElement } /** * @return {lower confidence limit, upper confidence limit}. */ public GeoList getResult() { return result; } /** * @return margin of error */ public double getME() { return me; } /** * @return standard error */ public double getSE() { return se; } @Override public final void compute() { double n1 = n.getDouble(); double phat = proportion.getDouble(); double cLevel = level.getDouble(); NormalDistribution normalDist = new NormalDistribution(0, 1); double critZ = 0; try { critZ = normalDist.inverseCumulativeProbability((1 - cLevel) / 2); } catch (Exception e) { result.setUndefined(); return; } se = Math.sqrt(phat * (1 - phat) / n1); double z = Math.abs(critZ); me = z * se; // put these results into the output list result.clear(); result.addNumber(phat - me, null); result.addNumber(phat + me, null); } }