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   "source": [
    "# Exercice: Doing a simple calculation on your own\n",
    "Compute the mean and the standard variation, the minimum, the median, and the maximum of the following data set:"
   ]
  },
  {
   "cell_type": "code",
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   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The mean of D is 14.113000000000001\n",
      "        The minimun of D is 2.8\n",
      "        The maximum of D is 23.4\n",
      "        The median of D is 14.5\n",
      "        The standard deviation of D is 4.334094455301447\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "D = np.array([14.0, 7.6, 11.2, 12.8, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2, 14.9, 18.1, 7.3, 9.8, 10.9,12.2, 9.9, 2.9, 2.8, 15.4, 15.7, 9.7, 13.1, 13.2, 12.3, 11.7, 16.0, 12.4, 17.9, 12.2, 16.2, 18.7, 8.9, 11.9, 12.1, 14.6, 12.1, 4.7, 3.9, 16.9, 16.8, 11.3, 14.4, 15.7, 14.0, 13.6, 18.0, 13.6, 19.9, 13.7, 17.0, 20.5, 9.9, 12.5, 13.2, 16.1, 13.5, 6.3, 6.4, 17.6, 19.1, 12.8, 15.5, 16.3, 15.2, 14.6, 19.1, 14.4, 21.4, 15.1, 19.6, 21.7, 11.3, 15.0, 14.3, 16.8, 14.0, 6.8, 8.2, 19.9, 20.4, 14.6, 16.4, 18.7, 16.8, 15.8, 20.4, 15.8, 22.4, 16.2, 20.3, 23.4, 12.1, 15.5, 15.4, 18.4, 15.7, 10.2, 8.9, 21.0])\n",
    "\n",
    "print(\"The mean of D is {}\\n \\\n",
    "       The minimun of D is {}\\n \\\n",
    "       The maximum of D is {}\\n \\\n",
    "       The median of D is {}\\n \\\n",
    "       The standard deviation of D is {}\".format(np.average(D),\n",
    "                                                np.min(D),\n",
    "                                                np.max(D),\n",
    "                                                np.median(D),\n",
    "                                                np.std(D, ddof=1)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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