diff --git a/module3/exo2/exerciceTabac.ipynb b/module3/exo2/exerciceTabac.ipynb
index 4340ba05112efaa55f94ee1267fbaa1cc1bbf939..e4206ef56ff67dc71dd61405c5348a0cdc4da4ae 100644
--- a/module3/exo2/exerciceTabac.ipynb
+++ b/module3/exo2/exerciceTabac.ipynb
@@ -51,7 +51,9 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "metadata": {},
+   "metadata": {
+    "scrolled": true
+   },
    "outputs": [
     {
      "data": {
@@ -1571,6 +1573,130 @@
     "nbDecedeesNF"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Sur la période donnée, il y a pour les fumeuses un taux de mortalité de :  18.989071038251364 %\n",
+      "et il y a pour les non fumeuses un taux de mortalité de :  39.51890034364261 %\n"
+     ]
+    }
+   ],
+   "source": [
+    "tauxMortF = nbDecedeesF/nbTotalF\n",
+    "tauxMortNF = nbDecedeesNF/nbTotalNF\n",
+    "print(\"Sur la période donnée, il y a pour les fumeuses un taux de mortalité de : \", tauxMortF*100, \"%\")\n",
+    "print(\"et il y a pour les non fumeuses un taux de mortalité de : \", tauxMortNF*100, \"%\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Fumeuses</th>\n",
+       "      <th>tauxMortalite</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Fumeuses</td>\n",
+       "      <td>18.989071</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>nonFumeuses</td>\n",
+       "      <td>39.518900</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      Fumeuses  tauxMortalite\n",
+       "0     Fumeuses      18.989071\n",
+       "1  nonFumeuses      39.518900"
+      ]
+     },
+     "execution_count": 39,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "d = {\"tauxMortalite\" : [tauxMortF*100, tauxMortNF*100], \"Fumeuses\" : [\"Fumeuses\", \"nonFumeuses\"]}\n",
+    "dt = pd.DataFrame(data = d)\n",
+    "dt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x7f2c371ac6d8>]],\n",
+       "      dtype=object)"
+      ]
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "%matplotlib inline\n",
+    "dt.hist(xrot=20)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "code",
    "execution_count": null,