From c0f581ca99f998041e2bb4f493a7e079a0ba6d44 Mon Sep 17 00:00:00 2001
From: f509977a31a17c4fcd1bbfffba0b4c91
 <f509977a31a17c4fcd1bbfffba0b4c91@app-learninglab.inria.fr>
Date: Mon, 20 Apr 2026 14:34:37 +0000
Subject: [PATCH] no commit message

---
 module2/exo2/exercice.ipynb | 20 ++++++++++----------
 1 file changed, 10 insertions(+), 10 deletions(-)

diff --git a/module2/exo2/exercice.ipynb b/module2/exo2/exercice.ipynb
index 32c99af..4464e2e 100644
--- a/module2/exo2/exercice.ipynb
+++ b/module2/exo2/exercice.ipynb
@@ -55,16 +55,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Moyenne : 14.113000000000001\n",
+      "Moyenne : 14.11\n",
       "Attention l'écart-type est calculé avec ddof = 1\n",
-      "Écart-type (NumPy ddof=1) : 4.334094455301447\n",
+      "Écart-type (NumPy ddof=1) : 4.33\n",
       "Médianne : 14.5\n",
       "Max : 23.4\n",
       "Min : 2.8\n",
@@ -74,25 +74,25 @@
    ],
    "source": [
     "# Calcule de la valeur moyenne\n",
-    "mean_val_np = np.mean(data)\n",
+    "mean_val_np = np.mean(data).round(2)\n",
     "\n",
     "# Calcul avec ddof=1 pour l'écart-type corrégi\n",
-    "std_val_np = np.std(data, ddof=1)\n",
+    "std_val_np = np.std(data, ddof=1).round(2)\n",
     "\n",
     "# Calcul min\n",
-    "min_val_np = np.min(data)\n",
+    "min_val_np = np.min(data).round(2)\n",
     "\n",
     "# Calcul max \n",
-    "max_val_np = np.max(data)\n",
+    "max_val_np = np.max(data).round(2)\n",
     "\n",
     "# Calcule meadianne\n",
-    "med_val_np = np.median(data)\n",
+    "med_val_np = np.median(data).round(2)\n",
     "\n",
     "\n",
     "print(\n",
-    "    f\"Moyenne : {mean_val}\\n\"\n",
+    "    f\"Moyenne : {mean_val_np}\\n\"\n",
     "    f\"Attention l'écart-type est calculé avec ddof = 1\\n\"\n",
-    "    f\"Écart-type (NumPy ddof=1) : {std_val}\\n\"\n",
+    "    f\"Écart-type (NumPy ddof=1) : {std_val_np}\\n\"\n",
     "    f\"Médianne : {med_val_np}\\n\"\n",
     "    f\"Max : {max_val_np}\\n\"\n",
     "    f\"Min : {min_val_np}\\n\"\n",
-- 
2.18.1