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          var clean_pct = '' + pct;
          clean_pct = clean_pct.replace('.', '_').replace('-', 'top');
          current_timer_data["count_" + clean_pct] = numInThreshold;
          current_timer_data["mean_" + clean_pct] = mean;
          current_timer_data[(pct > 0 ? "upper_" : "lower_") + clean_pct] = thresholdBoundary;
          current_timer_data["sum_" + clean_pct] = sum;
          current_timer_data["sum_squares_" + clean_pct] = sumSquares;

        }

        sum = cumulativeValues[count-1];
        sumSquares = cumulSumSquaresValues[count-1];
        mean = sum / count;

        var sumOfDiffs = 0;
        for (var i = 0; i < count; i++) {
           sumOfDiffs += (values[i] - mean) * (values[i] - mean);
        }

        var mid = Math.floor(count/2);
        var median = (count % 2) ? values[mid] : (values[mid-1] + values[mid])/2;

        var stddev = Math.sqrt(sumOfDiffs / count);
        current_timer_data["std"] = stddev;
        current_timer_data["upper"] = max;
        current_timer_data["lower"] = min;
        current_timer_data["count"] = timer_counters[key];
        current_timer_data["count_ps"] = timer_counters[key] / (flushInterval / 1000);
        current_timer_data["sum"] = sum;
        current_timer_data["sum_squares"] = sumSquares;
        current_timer_data["mean"] = mean;
        current_timer_data["median"] = median;