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diff --git a/3e/Gestion_donnees/Statistiques/E3_analyse_merou.tex b/3e/Gestion_donnees/Statistiques/E3_analyse_merou.tex
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+\documentclass[a4paper,10pt]{article}
+\usepackage{myXsim}
+
+\usepackage{multirow}
+
+\title{EPI Lagon}
+\tribe{Troisième}
+\date{Mars 2018}
+
+%\geometry{left=15mm,right=15mm, bottom= 10mm, top=10mm}
+
+\pagestyle{empty}
+
+\begin{document}
+
+\begin{exercise}[subtitle={Le mérou\Cal \Rep}]
+    Voici les relevés (fictifs) de la taille et du poids de méroux.
+
+    \begin{minipage}{0.3\textwidth}
+        \begin{tabular}{|c|c|}
+            \hline
+            Taille (en cm) & Poids (en kg) \\
+            \hline
+            9.11 & 81.0 \\
+            \hline
+            9.66 & 78.0 \\
+            \hline
+            9.55 & 80.0 \\
+            \hline
+            7.87 & 79.0 \\
+            \hline
+            8.24 & 64.0 \\
+            \hline
+        \end{tabular}
+    \end{minipage}
+    \begin{minipage}{0.3\textwidth}
+        \begin{tabular}{|c|c|}
+            \hline
+            Taille (en cm) & Poids (en kg) \\
+            \hline
+            5.46 & 50.0 \\
+            \hline
+            5.89 & 56.0 \\
+            \hline
+            7.9 & 78.0 \\
+            \hline
+            6.98 & 75.0 \\
+            \hline
+            5.37 & 49.0 \\
+            \hline
+        \end{tabular}
+    \end{minipage}
+    \begin{minipage}{0.3\textwidth}
+        \begin{tabular}{|c|c|}
+            \hline
+            Taille (en cm) & Poids (en kg) \\
+            \hline
+            6.03 & 53.0 \\
+            \hline
+            7.29 & 63.0 \\
+            \hline
+            3.98 & 38.0 \\
+            \hline
+            6.08 & 40.0 \\
+            \hline
+            7.02 & 69.0 \\
+            \hline
+        \end{tabular}
+    \end{minipage}
+        
+        \begin{enumerate}
+            \item Pour la taille, calculer la moyenne, l'étendue et la médiane de ces données.
+            \item Même question pour le poids.
+            \item Pensez vous que d'après ces données, le poids du poisson est proportionnel à sa taille?
+        \end{enumerate}    
+    
+\end{exercise}
+
+\vfill
+\printexercise{exercise}{1}
+\vfill
+\printexercise{exercise}{1}
+\vfill
+
+
+\end{document}
+
+%%% Local Variables: 
+%%% mode: latex
+%%% TeX-master: "master"
+%%% End:
+
diff --git a/3e/Gestion_donnees/Statistiques/Taille et poids des merous.ipynb b/3e/Gestion_donnees/Statistiques/Taille et poids des merous.ipynb
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+++ b/3e/Gestion_donnees/Statistiques/Taille et poids des merous.ipynb	
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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Création de données sur la taille des poissons"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "d = np.random.normal(60, 15, 15)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "d = d.astype(int)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "w = [round(l/9+np.random.normal(),2) for l in d]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "dt = {\"Taille\": d,\n",
+    "     \"Poids\": w}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = pd.DataFrame(dt)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "9.11 & 81.0 \\\\\n",
+      "\\hline\n",
+      "9.66 & 78.0 \\\\\n",
+      "\\hline\n",
+      "9.55 & 80.0 \\\\\n",
+      "\\hline\n",
+      "7.87 & 79.0 \\\\\n",
+      "\\hline\n",
+      "8.24 & 64.0 \\\\\n",
+      "\\hline\n",
+      "5.46 & 50.0 \\\\\n",
+      "\\hline\n",
+      "5.89 & 56.0 \\\\\n",
+      "\\hline\n",
+      "7.9 & 78.0 \\\\\n",
+      "\\hline\n",
+      "6.98 & 75.0 \\\\\n",
+      "\\hline\n",
+      "5.37 & 49.0 \\\\\n",
+      "\\hline\n",
+      "6.03 & 53.0 \\\\\n",
+      "\\hline\n",
+      "7.29 & 63.0 \\\\\n",
+      "\\hline\n",
+      "3.98 & 38.0 \\\\\n",
+      "\\hline\n",
+      "6.08 & 40.0 \\\\\n",
+      "\\hline\n",
+      "7.02 & 69.0 \\\\\n",
+      "\\hline\n"
+     ]
+    }
+   ],
+   "source": [
+    "for d in df.values:\n",
+    "    print(f\"{d[0]} & {d[1]} \\\\\\\\\")\n",
+    "    print(\"\\\\hline\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}