From a65ce496327dcc1f899a6a9cb9b1cf76583f7783 Mon Sep 17 00:00:00 2001
From: test <test@test.com>
Date: Wed, 18 May 2022 12:37:33 +0200
Subject: [PATCH] test 3 conclusion

---
 bootstrap-t.ipynb | 138 +++++++++++++++++++++++-----------------------
 1 file changed, 70 insertions(+), 68 deletions(-)

diff --git a/bootstrap-t.ipynb b/bootstrap-t.ipynb
index cf8ea0a..08cb6c3 100644
--- a/bootstrap-t.ipynb
+++ b/bootstrap-t.ipynb
@@ -55,7 +55,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 46,
    "metadata": {
     "pycharm": {
      "name": "#%%\n"
@@ -72,7 +72,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 47,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -81,7 +81,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 48,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -92,7 +92,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 49,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -113,7 +113,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 50,
    "metadata": {
     "pycharm": {
      "name": "#%%\n"
@@ -135,7 +135,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 51,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -153,7 +153,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 52,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -171,7 +171,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 53,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -199,7 +199,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 54,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -229,7 +229,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 55,
    "metadata": {
     "pycharm": {
      "name": "#%%\n"
@@ -246,7 +246,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 56,
    "metadata": {
     "collapsed": false,
     "pycharm": {
@@ -269,7 +269,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 57,
    "metadata": {
     "collapsed": false,
     "pycharm": {
@@ -291,7 +291,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 58,
    "metadata": {
     "collapsed": false,
     "pycharm": {
@@ -313,7 +313,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": 59,
    "metadata": {
     "collapsed": false,
     "pycharm": {
@@ -346,7 +346,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 60,
    "metadata": {
     "collapsed": false,
     "pycharm": {
@@ -367,6 +367,14 @@
       "0    76.5602\n",
       "dtype: float64\n"
      ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "c:\\program files\\python39\\lib\\site-packages\\numpy\\core\\fromnumeric.py:3472: FutureWarning: In a future version, DataFrame.mean(axis=None) will return a scalar mean over the entire DataFrame. To retain the old behavior, use 'frame.mean(axis=0)' or just 'frame.mean()'\n",
+      "  return mean(axis=axis, dtype=dtype, out=out, **kwargs)\n"
+     ]
     }
    ],
    "source": [
@@ -383,7 +391,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 60,
    "metadata": {},
    "outputs": [],
    "source": []
@@ -410,7 +418,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": 61,
    "metadata": {},
    "outputs": [
     {
@@ -445,7 +453,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 62,
    "metadata": {
     "collapsed": false,
     "pycharm": {
@@ -465,7 +473,7 @@
       "p: 0.5\n",
       "Wartość statystyki testowej z próby: [19.1207964]\n",
       "Wartości statystyk z prób boostrapowych:\n",
-      "[17.41702865], [19.17874674], [20.59090525], [17.666445], [19.3593138], ... (i 95 pozostałych)\n",
+      "[18.3771515], [18.01787771], [18.0688161], [17.02918795], [17.03895917], ... (i 995 pozostałych)\n",
       "\n",
       "\n",
       "\n"
@@ -473,11 +481,8 @@
     },
     {
      "data": {
-      "image/png": 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\n"
      },
      "metadata": {
       "needs_background": "light"
@@ -527,7 +532,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 63,
    "metadata": {},
    "outputs": [
     {
@@ -567,7 +572,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 64,
    "metadata": {
     "collapsed": false,
     "pycharm": {
@@ -587,18 +592,15 @@
       "p: 0.0\n",
       "Wartość statystyki testowej z próby: [8.04931557]\n",
       "Wartości statystyk z prób boostrapowych:\n",
-      "[0.2748409], [-0.61193473], [1.24335163], [-2.56879464], [0.34249038], ... (i 95 pozostałych)\n",
+      "[0.50661164], [-1.11155681], [1.47250746], [0.52178413], [0.77552826], ... (i 995 pozostałych)\n",
       "\n",
       "\n"
      ]
     },
     {
      "data": {
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\n"
      },
      "metadata": {
       "needs_background": "light"
@@ -633,9 +635,33 @@
     "\n",
     "W odróżnieniu od testu dla prób niezależnych, gdzie porównujemy dwie grupy, ten rodzaj testu stosujemy gdy poddajemy analizie tą samą pojedynczą grupę, ale dwukrotnie w czasie.\n",
     "\n",
-    "**Przykład**: Porównane zostały wagi przed dietą i po diecie.\n"
+    "**Przykład**: Porównane zostały wagi przed dietą i po diecie."
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Średnia waga próbki wag przed dietą: 79.63419999999999\n",
+      "Średnia waga próbki wag po diecie:   76.5602\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(f'Średnia waga próbki wag przed dietą: {np.mean(weights_before)[0]}')\n",
+    "print(f'Średnia waga próbki wag po diecie:   {np.mean(weights_after)[0]}')"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
   {
    "cell_type": "markdown",
    "metadata": {
@@ -661,7 +687,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": 66,
    "metadata": {
     "collapsed": false,
     "pycharm": {
@@ -706,7 +732,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 67,
    "metadata": {
     "collapsed": false,
     "pycharm": {
@@ -726,18 +752,15 @@
       "p: 0.0\n",
       "Wartość statystyki testowej z próby: [48.30834167]\n",
       "Wartości statystyk z prób boostrapowych:\n",
-      "[-0.18332849], [-1.21537352], [1.64628473], [1.06552535], [-0.71420173], ... (i 95 pozostałych)\n",
+      "[0.520412], [-1.17045922], [0.83736887], [0.65925044], [2.48031265], ... (i 995 pozostałych)\n",
       "\n",
       "\n"
      ]
     },
     {
      "data": {
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\n"
      },
      "metadata": {
       "needs_background": "light"
@@ -754,36 +777,15 @@
   {
    "cell_type": "markdown",
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%% md\n"
+    }
    },
    "source": [
     "## Wniosek\n",
-    "\n",
-    "???"
+    "p mniejsze od 0.05 -> odrzucamy hipotezę zerową, że waga nie jest istotnie mniejsza"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
-   },
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "pycharm": {
-     "name": "#%%\n"
-    }
-   },
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
@@ -810,4 +812,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
+}
\ No newline at end of file