{
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   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
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   "source": [
    "data = [\n",
    "14.0, 9.7, 13.2, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2, 14.9, 18.1, 7.3, 9.8,\n",
    "12.1, 8.3, 11.4, 11.8, 14.6, 13.0, 14.8, 11.7, 10.7, 12.7, 12.9, 14.4, 13.3,\n",
    "17.9, 9.2, 12.6, 18.4, 10.7, 19.0, 15.7, 14.9, 17.5, 13.9, 13.6, 16.5,\n",
    "10.9, 14.7, 15.3, 12.9, 14.1, 12.5, 15.3, 16.1, 15.4, 16.2, 19.1, 17.4,\n",
    "15.4, 15.9, 14.7, 16.9, 17.1, 18.2, 15.2, 16.4, 20.3, 23.7, 12.1,\n",
    "15.4, 14.0, 8.3, 19.0, 21.0\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Moyenne : 14.331818181818182\n",
      "Écart-type : 3.2901792839113986\n",
      "Minimum : 7.3\n",
      "Médiane : 14.649999999999999\n",
      "Maximum : 23.7\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "print(\"Moyenne :\", np.mean(data))\n",
    "print(\"Écart-type :\", np.std(data, ddof=1))\n",
    "print(\"Minimum :\", np.min(data))\n",
    "print(\"Médiane :\", np.median(data))\n",
    "print(\"Maximum :\", np.max(data))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Calcul des statistiques descriptives\n",
    "\n",
    "On calcule ici la moyenne, l'écart-type, le minimum, la médiane et le maximum\n",
    "de la série de données fournie, à l'aide de la bibliothèque *NumPy*.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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