Java Utililty Methods List Mean

int listSize = values.size();
Double sumOfDiffSquared = 0.0;
for (Double value : values) {
    double diffFromMean = value - mean;
    sumOfDiffSquared += ((diffFromMean * diffFromMean) / (listSize - 1));
double variance = sumOfDiffSquared;
return Math.sqrt(variance);
...

Double sum = 0.0;
for (Number d : fs)
    sum += d.doubleValue();
return sum / fs.size();

int numVals = vals.size();
double product = 1.0;
for (int i = 0; i < numVals; i++) {
    Double val = (Double) vals.get(i);
    double dval = (val.isNaN()) ? replacement : val.doubleValue();
    if (dval == 0.0) {
        dval = replacement;
    product *= Math.abs(dval);
return (Math.pow(product, 1.0 / (double) numVals));

Iterator<Number> it = harray.iterator();
double vsum = 0, mean = 0;
int count = 0;
while (it.hasNext()) {
    Number vl = it.next();
    double val = vl.doubleValue();
    vsum += val;
    count++;
...

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;
return mean;

double sum = 0.0;
for (double value : list) {
    sum += value;
return sum / list.size();

if (values.isEmpty()) {
    return -1.0;
double sum = 0.0;
for (Double value : values) {
    sum += Math.pow(meanValue - value, 2.0);
return Math.sqrt(sum / (values.size() - 1));
...

double sum = 0;
int i = 0;
for (Double d : doubles) {
    if (d == null)
        continue;
    sum += (d - mean) * (d - mean);
    i++;
return i == 0 ? null : Math.sqrt(sum / i);

return getStandardDeviation(doubles, getMean(doubles));

return sum(list) / list.length;