diff --git a/src/cr/cube/measures/index.py b/src/cr/cube/measures/index.py
index 47e9194e4..b479f2568 100644
--- a/src/cr/cube/measures/index.py
+++ b/src/cr/cube/measures/index.py
@@ -34,6 +34,7 @@ def data(self):
         '''Return table index by margin.'''
         if self.cube.has_mr:
             return self._mr_index()
+        # this margin should be calculated from the univariate cube of the row variable.
         margin = (
             self.cube.margin(axis=0, weighted=self.weighted, prune=self.prune) /
             self.cube.margin(weighted=self.weighted, prune=self.prune)
diff --git a/tests/integration/test_index.py b/tests/integration/test_index.py
index 5dea8190e..b2a829315 100644
--- a/tests/integration/test_index.py
+++ b/tests/integration/test_index.py
@@ -13,12 +13,12 @@ class TestIndex(TestCase):
     def test_mr_x_cat_index(self):
         cube = CrunchCube(SELECTED_CROSSTAB_4)
         expected = np.array([
-            [0.95865152585539, 1.0385904443566],
-            [1.02305106635277, 0.9784320457270],
-            [0.97603114632311, 1.0224274029149],
-            [0.98102944430498, 1.0182906820384],
-            [1.14466510106092, 0.8606566846476],
-            [0.99292572005336, 1.0068293374540]
+            [0.958651525855387,1.03859044435659],
+            [1.02305106635277,0.978432045727022],
+            [0.976031146323114,1.0224274029149],
+            [0.981029444304978,1.01829068203842],
+            [1.14466510106092,0.860656684647625],
+            [0.992925720053358,1.00682933745397]
         ])
         actual = cube.index()
         np.testing.assert_almost_equal(actual, expected)
@@ -26,8 +26,8 @@ def test_mr_x_cat_index(self):
     def test_cat_x_mr_index(self):
         cube = CrunchCube(CAT_X_MR_SIMPLE)
         expected = np.array([
-            [0.8571429, 1.1152941, 0.9610984],
-            [1.0769231, 0.9466231, 1.019037],
+            [0.909090909090909,1.06951871657754,0.956937799043062],
+            [1.04477611940298,0.9657594381036,1.02120974076984]
         ])
         actual = cube.index()
         np.testing.assert_almost_equal(actual, expected)
@@ -35,9 +35,9 @@ def test_cat_x_mr_index(self):
     def test_mr_x_mr_index(self):
         cube = CrunchCube(PETS_X_PETS)
         expected = np.array([
-            [1.0000000000000000, 1.1724137931034484, 0.894736842105263],
-            [0.8529411764705883, 1.0000000000000000, 0.763157894736842],
-            [1.1176470588235294, 1.310344827586207, 1.0000000000000000]
+            [2,0.96551724137931,0.947368421052632],
+            [0.956747404844291,2.32352941176471,0.978328173374613],
+            [0.975232198142415,1.01633393829401,1.84210526315789]
         ])
         actual = cube.index()
         np.testing.assert_almost_equal(actual, expected)