Add some statistics to the monsoon profile run

tools/perf/metrics/statistics_unittest.py

Index: tools/perf/metrics/statistics_unittest.py
diff --git a/tools/perf/metrics/statistics_unittest.py b/tools/perf/metrics/statistics_unittest.py
index 78fe81ff1511a7d374c93728a6aee1b1f7a790a6..8b1ad62e7139ecc7fa9d3d37f9d39da15c75272c 100644
--- a/tools/perf/metrics/statistics_unittest.py
+++ b/tools/perf/metrics/statistics_unittest.py
@@ -5,7 +5,7 @@
 import unittest
 import random
 
-from metrics import statistics
+from telemetry.util import statistics
 
 
 def Relax(samples, iterations=10):
@@ -158,13 +158,10 @@ class StatisticsUnitTest(unittest.TestCase):
 
   def testArithmeticMean(self):
     # The ArithmeticMean function computes the simple average.
-    self.assertAlmostEquals(40/3.0, statistics.ArithmeticMean([10, 10, 20], 3))
-    self.assertAlmostEquals(15.0, statistics.ArithmeticMean([10, 20], 2))
-    # Both lists of values or single values can be given for either argument.
-    self.assertAlmostEquals(40/3.0, statistics.ArithmeticMean(40, [1, 1, 1]))
+    self.assertAlmostEquals(40/3.0, statistics.ArithmeticMean([10, 10, 20]))
+    self.assertAlmostEquals(15.0, statistics.ArithmeticMean([10, 20]))
     # If the 'count' is zero, then zero is returned.
-    self.assertEquals(0, statistics.ArithmeticMean(4.0, 0))
-    self.assertEquals(0, statistics.ArithmeticMean(4.0, []))
+    self.assertEquals(0, statistics.ArithmeticMean([]))
 
   def testDurationsDiscrepancy(self):
     durations = []