Last active
March 31, 2024 13:13
-
-
Save gcardone/5536578 to your computer and use it in GitHub Desktop.
How to calculate confidence interval for means with unknown standard deviation using the Student t distribution. Needs Apache Commons Math library.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import org.apache.commons.math3.distribution.TDistribution; | |
import org.apache.commons.math3.exception.MathIllegalArgumentException; | |
import org.apache.commons.math3.stat.descriptive.SummaryStatistics; | |
public class ConfidenceIntervalApp { | |
public static void main(String args[]) { | |
// data we want to evaluate: average height of 30 one year old male and female toddlers | |
// interestingly, at this age height is not bimodal yet | |
double data[] = new double[] { 63.5, 81.3, 88.9, 63.5, 76.2, 67.3, 66.0, 64.8, 74.9, 81.3, 76.2, 72.4, 76.2, 81.3, 71.1, 80.0, 73.7, 74.9, 76.2, 86.4, 73.7, 81.3, 68.6, 71.1, 83.8, 71.1, 68.6, 81.3, 73.7, 74.9 }; | |
// Build summary statistics of the dataset "data" | |
SummaryStatistics stats = new SummaryStatistics(); | |
for (double val : data) { | |
stats.addValue(val); | |
} | |
// Calculate 95% confidence interval | |
double ci = calcMeanCI(stats, 0.95); | |
System.out.println(String.format("Mean: %f", stats.getMean())); | |
double lower = stats.getMean() - ci; | |
double upper = stats.getMean() + ci; | |
System.out.println(String.format("Confidence Interval 95%%: %f, %f", lower, upper)); | |
} | |
private static double calcMeanCI(SummaryStatistics stats, double level) { | |
try { | |
// Create T Distribution with N-1 degrees of freedom | |
TDistribution tDist = new TDistribution(stats.getN() - 1); | |
// Calculate critical value | |
double critVal = tDist.inverseCumulativeProbability(1.0 - (1 - level) / 2); | |
// Calculate confidence interval | |
return critVal * stats.getStandardDeviation() / Math.sqrt(stats.getN()); | |
} catch (MathIllegalArgumentException e) { | |
return Double.NaN; | |
} | |
} | |
} | |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment