no commit message

module2/exo2/exercice.ipynb

 {
- "cells": [],
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[14.   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\n",
+      " 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.  12.4\n",
+      " 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\n",
+      " 14.4 15.7 14.  13.6 18.  13.6 19.9 13.7 17.  20.5  9.9 12.5 13.2 16.1\n",
+      " 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\n",
+      " 19.6 21.7 11.3 15.  14.3 16.8 14.   6.8  8.2 19.9 20.4 14.6 16.4 18.7\n",
+      " 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\n",
+      "  8.9 21. ]\n"
+     ]
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "dataset= [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",
+    "dataset= np.array(dataset)\n",
+    "print(dataset)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "14.113000000000001\n",
+      "14.113000000000001\n",
+      "2.8\n",
+      "23.4\n",
+      "14.5\n",
+      "4.312369534258399\n"
+     ]
+    }
+   ],
+   "source": [
+    "average= np.mean(dataset)\n",
+    "print(average)\n",
+    "\n",
+    "test=np.average(dataset)\n",
+    "print(test)\n",
+    "\n",
+    "minimum= np.min(dataset)\n",
+    "print(minimum)\n",
+    "\n",
+    "maximum= np.max(dataset)\n",
+    "print(maximum)\n",
+    "\n",
+    "median= np.median(dataset)\n",
+    "print(median)\n",
+    "\n",
+    "std= np.std(dataset, ddof=1)\n",
+    "print(std)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
  "metadata": {
   "kernelspec": {
    "display_name": "Python 3",
@@ -16,10 +90,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.3"
+   "version": "3.6.4"
   }
  },
  "nbformat": 4,
  "nbformat_minor": 2
 }
-