Display Histograms in value-set-table-cells.

tracing/tracing/base/statistics_test.html

Index: tracing/tracing/base/statistics_test.html
diff --git a/tracing/tracing/base/statistics_test.html b/tracing/tracing/base/statistics_test.html
index 0f9349924f7442db09639d275e6f1983df0b06de..5e039fd80c1dcb46a7f48d9cf7481860697cad44 100644
--- a/tracing/tracing/base/statistics_test.html
+++ b/tracing/tracing/base/statistics_test.html
@@ -8,6 +8,9 @@ found in the LICENSE file.
 <script>
 'use strict';
 
+// TODO(charliea): Remove:
+/* eslint-disable catapult-camelcase */
+
 tr.b.unittest.testSuite(function() {
   var Statistics = tr.b.Statistics;
 
@@ -508,20 +511,20 @@ tr.b.unittest.testSuite(function() {
    // x < 0.01
     var sampleA = [1, 2, 2.1, 2.2, 2, 1];
     var sampleB = [12, 13, 13.1, 13.2, 13, 12];
-    var results = Statistics.mwu.test(sampleA, sampleB);
+    var results = Statistics.mwu(sampleA, sampleB);
     assert.isBelow(results.p, 0.1);
 
     // 0.01 < x < 0.1
     sampleA = [1, 2, 2.1, 2.2, 2, 1];
     sampleB = [2, 3, 3.1, 3.2, 3, 2];
-    results = Statistics.mwu.test(sampleA, sampleB);
+    results = Statistics.mwu(sampleA, sampleB);
     assert.isBelow(results.p, 0.1);
     assert.isAbove(results.p, 0.01);
 
     // 0.1 < x
     sampleA = [1, 2, 2.1, 2.2, 2, 1];
     sampleB = [1, 2, 2.1, 2.2, 2, 1];
-    results = Statistics.mwu.test(sampleA, sampleB);
+    results = Statistics.mwu(sampleA, sampleB);
     assert.isAbove(results.p, 0.1);
   });
 
@@ -535,31 +538,31 @@ tr.b.unittest.testSuite(function() {
         6.915150e+0, 7.881740e+0, 1.131160e+1, 9.959400e+0, 9.030880e+0
     ];
     // Identical samples should not cause the null to be rejected.
-    var results = Statistics.mwu.test(longRepeatingSample, longRepeatingSample);
+    var results = Statistics.mwu(longRepeatingSample, longRepeatingSample);
     assert.isAbove(results.p, 0.05);
-    results = Statistics.mwu.test(normallyDistributedSample,
+    results = Statistics.mwu(normallyDistributedSample,
         normallyDistributedSample);
     assert.isAbove(results.p, 0.05);
-    results = Statistics.mwu.test(singleLargeValue, singleLargeValue);
+    results = Statistics.mwu(singleLargeValue, singleLargeValue);
 
     // A single value is generally not sufficient to reject the null, no matter
     // how far off it is.
-    results = Statistics.mwu.test(normallyDistributedSample, singleLargeValue);
+    results = Statistics.mwu(normallyDistributedSample, singleLargeValue);
     assert.isAbove(results.p, 0.05);
 
     // A single value way outside the first sample may be enough to reject,
     // if the first sample is large enough.
-    results = Statistics.mwu.test(longRepeatingSample, singleLargeValue);
+    results = Statistics.mwu(longRepeatingSample, singleLargeValue);
     assert.isBelow(results.p, 0.005);
 
     // Empty samples should not be comparable.
-    results = Statistics.mwu.test(emptySample, emptySample);
+    results = Statistics.mwu(emptySample, emptySample);
     assert(isNaN(results.p));
 
     // The result of comparing a sample against an empty sample should not be a
     // valid p value. NOTE: The current implementation returns 0, it is up to
     // the caller to interpret this.
-    results = Statistics.mwu.test(normallyDistributedSample, emptySample);
+    results = Statistics.mwu(normallyDistributedSample, emptySample);
     assert(!results.p);
   });