diff --git a/Main.ipynb b/Main.ipynb
index b38eec5..264a9d0 100644
--- a/Main.ipynb
+++ b/Main.ipynb
@@ -276,7 +276,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "id": "0d955b0d-dc80-4518-954b-7c2df295adca",
    "metadata": {
     "ExecuteTime": {
@@ -284,7 +284,25 @@
      "start_time": "2025-12-06T10:18:18.393765Z"
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "BENCHMARK SYZYGY\n",
+      "BENCHMARK REDIS\n",
+      "Redis latency array length: 55000\n",
+      "Syzygy latency array length: 50127\n",
+      "            test  statistic  p-value  \\\n",
+      "0  paired t-test  85.042506      0.0   \n",
+      "1        KS-test   0.546193      0.0   \n",
+      "\n",
+      "                                    interpretation  \n",
+      "0         H0: mean latency equal (Redis vs Syzygy)  \n",
+      "1  H0: same latency distribution (Redis vs Syzygy)  \n"
+     ]
+    }
+   ],
    "source": [
     "def statistical_tests(bench_redis, bench_syzygy):\n",
     "    redis_lat = np.array(bench_redis[\"latency\"], dtype=np.float64)\n",
@@ -358,10 +376,47 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "id": "a68060e1-0052-4446-a0d3-40bc1756f210",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "=== Benchmark Redis GET : 3pieces ===\n",
+      "\n",
+      "=== Benchmark Redis GET : 4pieces ===\n",
+      "\n",
+      "=== Benchmark Redis GET : 5pieces ===\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "{'3pieces': {'mean_ms': np.float64(0.4589625600419822),\n",
+       "  'median_ms': np.float64(0.40479199969922774),\n",
+       "  'min_ms': np.float64(0.20995799968659412),\n",
+       "  'max_ms': np.float64(4.594801999701303),\n",
+       "  'std_ms': np.float64(0.42983928490153817)},\n",
+       " '4pieces': {'mean_ms': np.float64(0.36221424002178537),\n",
+       "  'median_ms': np.float64(0.33665850014585885),\n",
+       "  'min_ms': np.float64(0.2021390000663814),\n",
+       "  'max_ms': np.float64(1.0131979997822782),\n",
+       "  'std_ms': np.float64(0.12193858759433863)},\n",
+       " '5pieces': {'mean_ms': np.float64(0.3863061399442813),\n",
+       "  'median_ms': np.float64(0.3765404999285238),\n",
+       "  'min_ms': np.float64(0.20748299994011177),\n",
+       "  'max_ms': np.float64(0.6716950001646182),\n",
+       "  'std_ms': np.float64(0.09189286718199571)}}"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "\n",
     "\"\"\"\n",