declare test functions

bootstrap-t.ipynb

@@ -106,7 +106,7 @@
     "    \"\"\"Funkcja oblicza wartość statystyki testowej dla dwóch próbek zależnych\"\"\"\n",
     "    differences = [x_1 - x_2 for x_1, x_2 in zip(sample_1, sample_2)]\n",
     "    sample_size = len(sample_1)\n",
-    "    mu = 0 # The constant = zero if we want to test whether the average of the difference is significantly different.\n",
+    "    mu = 0 # The constant is zero if we want to test whether the average of the difference is significantly different.\n",
     "    return (mean(differences) - mu) / (stdev(differences) / sqrt(sample_size))"
    ],
    "metadata": {
@@ -116,6 +116,51 @@
     }
    }
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [
+    "def bootstrap_one_sample():\n",
+    "    return"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [
+    "def bootstrap_independent():\n",
+    "    return"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [
+    "def bootstrap_dependent():\n",
+    "    return"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
   {
    "cell_type": "code",
    "execution_count": 147,