diff --git a/python/gtsam/tests/test_DiscreteBayesNet.py b/python/gtsam/tests/test_DiscreteBayesNet.py
index 471d82264..861d6dc49 100644
--- a/python/gtsam/tests/test_DiscreteBayesNet.py
+++ b/python/gtsam/tests/test_DiscreteBayesNet.py
@@ -49,6 +49,7 @@ class TestDiscreteConditional(GtsamTestCase):
 
         # Sample with only 1 variable
         conditional = DiscreteConditional(self.key, "7/3")
+        # Sample multiple times and average to get mean
         p = 0
         for _ in range(niters):
             p += conditional.sample(rng)
@@ -57,6 +58,7 @@ class TestDiscreteConditional(GtsamTestCase):
 
         # Sample with variable and parent
         conditional = DiscreteConditional(self.key, self.parents, "7/3 2/8")
+        # Sample multiple times and average to get mean
         p = 0
         parentValues = gtsam.DiscreteValues()
         parentValues[self.parent[0]] = 1
diff --git a/python/gtsam/tests/test_GaussianBayesNet.py b/python/gtsam/tests/test_GaussianBayesNet.py
index 468ee8de5..31ec1c3bc 100644
--- a/python/gtsam/tests/test_GaussianBayesNet.py
+++ b/python/gtsam/tests/test_GaussianBayesNet.py
@@ -71,7 +71,7 @@ class TestGaussianBayesNet(GtsamTestCase):
         # Sample with rng
         rng = gtsam.MT19937(42)
         conditional = GaussianConditional(_x_, [9.0], I_1x1)
-        # Sample multiple times and average to gey mean
+        # Sample multiple times and average to get mean
         val = 0
         niters = 10000
         for _ in range(niters):