Detect Outlier using Boxplot in Java

import org.apache.commons.math3.stat.descriptive.DescriptiveStatistics;

public boolean isOutlier(String itemId, String value) {

    if (monitoringItem.getProperties().getBoxPlotSize() > 0) {
        BoxPlot boxPlot = Statics.boxPlotRepository.findByItemId(itemId);

        DescriptiveStatistics descriptiveStatistics = new DescriptiveStatistics();
        double dValue = Double.parseDouble(value);

        for (ItemBoxPlot bItem : boxPlot.getBoxPlotList()) {
            double d = Double.parseDouble(bItem.getValue());

            descriptiveStatistics.addValue(d);
        }

        double Q1 = descriptiveStatistics.getPercentile(25);
        double Q3 = descriptiveStatistics.getPercentile(75);
        double IQR = Q3 - Q1;

        double highRange = Q3 + 3 * IQR;
        double lowRange = Q1 - 3 * IQR;

        if (dValue > highRange || dValue < lowRange) {
            return true;
        }
    }

    return false;
}

References
https://pupli.net/2019/05/31/detect-outlier-using-boxplot/