[Telemetry] Update the ConfindenceInterval calculation in results.html to use

tools/telemetry/third_party/WebKit/PerformanceTests/resources/statistics.js

Index: tools/telemetry/third_party/WebKit/PerformanceTests/resources/statistics.js
diff --git a/tools/telemetry/third_party/WebKit/PerformanceTests/resources/statistics.js b/tools/telemetry/third_party/WebKit/PerformanceTests/resources/statistics.js
index f5269c2c2b8769e43c65fc1c090d548a83b54520..4ed70d7fe24bd7caa82f42ab69177dbd8f6321fc 100644
--- a/tools/telemetry/third_party/WebKit/PerformanceTests/resources/statistics.js
+++ b/tools/telemetry/third_party/WebKit/PerformanceTests/resources/statistics.js
@@ -65,8 +65,7 @@ var Statistics = new (function () {
         return supportedLevels;
     }
 
-    // Computes the delta d s.t. (mean - d, mean + d) is the confidence interval with the specified confidence level in O(1).
-    this.confidenceIntervalDelta = function (confidenceLevel, numberOfSamples, sum, squareSum) {
+    this.quantile = function (confidenceLevel, numberOfSamples) {
         var probability = (1 - (1 - confidenceLevel) / 2);
         if (!(probability in tDistributionInverseCDF)) {
             console.warn('We only support ' + this.supportedConfidenceLevels().map(
@@ -81,16 +80,27 @@ var Statistics = new (function () {
 
         // tDistributionQuantile(degreesOfFreedom, confidenceLevel) * sampleStandardDeviation / sqrt(numberOfSamples) * S/sqrt(numberOfSamples)
         if (degreesOfFreedom <= 100)
-          var quantile = cdfForProbability[degreesOfFreedom - 1]; // The first entry is for the one degree of freedom.
+          return cdfForProbability[degreesOfFreedom - 1]; // The first entry is for the one degree of freedom.
         else if (degreesOfFreedom <= 300)
-          var quantile = cdfForProbability[Math.round(degreesOfFreedom / 10) + 100 - 10 - 1];
+          return cdfForProbability[Math.round(degreesOfFreedom / 10) + 100 - 10 - 1];
         else if (degreesOfFreedom <= 1300)
-          var quantile = cdfForProbability[Math.round(degreesOfFreedom / 100) + 120 - 3 - 1];
+          return cdfForProbability[Math.round(degreesOfFreedom / 100) + 120 - 3 - 1];
         else
-          var quantile = cdfForProbability[cdfForProbability.length - 1];
+          return cdfForProbability[cdfForProbability.length - 1];
+    }
+
+    // Computes the delta d s.t. (mean - d, mean + d) is the confidence interval with the specified confidence level in O(1).
+    this.confidenceIntervalDelta = function (confidenceLevel, numberOfSamples, sum, squareSum) {

[petrcermak, 2015/09/09 18:44:40]

To reduce code duplication, this function should use
confidenceIntervalDeltaFromStd:

this.confidenceIntervalDelta = function (confidenceLevel, numberOfSamples, sum,
squareSum) {
  var sampleStandardDeviation = this.sampleStandardDeviation(numberOfSamples,
sum, squareSum);
  return this.confidenceIntervalDeltaFromStd(confidenceLevel, numberOfSamples,
sampleStandardDeviation);
}

[nednguyen, 2015/09/09 22:29:06]

Done.

+        var quantile = this.quantile(confidenceLevel, numberOfSamples);
         return quantile * this.sampleStandardDeviation(numberOfSamples, sum, squareSum) / Math.sqrt(numberOfSamples);
     }
 
+    this.confidenceIntervalDeltaFromStd = function (confidenceLevel, numberOfSamples, sampleStandardDeviation) {
+        var quantile = this.quantile(confidenceLevel, numberOfSamples);
+        return quantile * sampleStandardDeviation / Math.sqrt(numberOfSamples);
+    }
+
+
     this.confidenceInterval = function (values, probability) {
         var sum = this.sum(values);
         var mean = sum / values.length;