Java Utililty Methods List std

if (doubleList.size() > 1) {
    double mean = calculateMeanOfArrayListDouble(doubleList);
    double sumOfSquaredResiduals = 0;
    for (double a : doubleList) {
        double residual = mean - a;
        sumOfSquaredResiduals += Math.pow(residual, 2);
    return Math.sqrt(sumOfSquaredResiduals / (doubleList.size() - 1));
...

double mean = 0;
final int n = data.size();
if (n < 2) {
    return Double.NaN;
for (int i = 0; i < n; i++) {
    mean += data.get(i);
mean /= n;
double sum = 0;
for (int i = 0; i < n; i++) {
    final double v = data.get(i) - mean;
    sum += v * v;
return Math.sqrt(sum / (n - 1));

return Math.sqrt(getVariance(list));

double sum = 0;
double avg = getAverage(values);
for (double d : values)
    sum += (d - avg) * (d - avg);
return Math.sqrt(sum / values.size());

return getStdDeviation(numbers, getAverage(numbers));

return Math.sqrt(variance(data));

double sum = 0;
double mean = mean(values);
for (Double val : values) {
    sum += Math.pow(val - mean, 2);
return Math.sqrt(sum / values.size());

float avg = 0f;
for (int i : list)
    avg += i;
avg /= list.size();
float var = 0f;
for (int i : list)
    var += (i - avg) * (i - avg);
var /= list.size();
...

double N = (double) values.size();
double dev2 = 0.0;
for (Short v : values) {
    dev2 += Math.pow((double) v - xbar, 2);
return Math.pow(dev2 / (N), 0.5);

if (populationStandardDeviation) {
    return Math.sqrt(varianceDouble(list, populationStandardDeviation));
return Math.sqrt(varianceDouble(list, populationStandardDeviation));