diff --git a/chapters/09/2/Iteration.ipynb b/chapters/09/2/Iteration.ipynb
index 9f3e05f88..69d4dc795 100644
--- a/chapters/09/2/Iteration.ipynb
+++ b/chapters/09/2/Iteration.ipynb
@@ -443,7 +443,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -461,7 +461,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Not surprisingly, each of the three outcomes -1, 0, and 1 appeared about about 100 of the 300 times, give or take. We will examine the \"give or take\" amounts more closely in later chapters."
+    "Not surprisingly, each of the three outcomes -1, 0, and 1 appeared about 100 of the 300 times, give or take. We will examine the \"give or take\" amounts more closely in later chapters."
    ]
   }
  ],