{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "using Distributions\n",
    "using StatsBase\n",
    "using CSV\n",
    "using DataFrames\n",
    "using HypothesisTests\n",
    "using Plots\n",
    "using GLM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "test1 = CSV.read(\"ProjectData_1_point_0.csv\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"data-frame\"><thead><tr><th></th><th>Age</th><th>WCC</th><th>CRP</th><th>Treatment</th><th>Result</th></tr><tr><th></th><th>Int64</th><th>Float64</th><th>Int64</th><th>String</th><th>String</th></tr></thead><tbody><p>100 rows × 5 columns</p><tr><th>1</th><td>39</td><td>9.3</td><td>10</td><td>A</td><td>Worse</td></tr><tr><th>2</th><td>51</td><td>14.6</td><td>50</td><td>A</td><td>Worse</td></tr><tr><th>3</th><td>75</td><td>7.1</td><td>50</td><td>A</td><td>Improved</td></tr><tr><th>4</th><td>59</td><td>12.0</td><td>10</td><td>A</td><td>Improved</td></tr><tr><th>5</th><td>62</td><td>13.6</td><td>60</td><td>A</td><td>Static</td></tr><tr><th>6</th><td>59</td><td>11.9</td><td>30</td><td>B</td><td>Static</td></tr><tr><th>7</th><td>31</td><td>10.6</td><td>10</td><td>B</td><td>Static</td></tr><tr><th>8</th><td>63</td><td>11.8</td><td>70</td><td>A</td><td>Worse</td></tr><tr><th>9</th><td>41</td><td>13.2</td><td>70</td><td>A</td><td>Worse</td></tr><tr><th>10</th><td>45</td><td>13.6</td><td>90</td><td>B</td><td>Worse</td></tr><tr><th>11</th><td>78</td><td>11.8</td><td>70</td><td>B</td><td>Improved</td></tr><tr><th>12</th><td>36</td><td>13.7</td><td>50</td><td>A</td><td>Improved</td></tr><tr><th>13</th><td>62</td><td>9.5</td><td>40</td><td>A</td><td>Static</td></tr><tr><th>14</th><td>34</td><td>13.6</td><td>30</td><td>A</td><td>Static</td></tr><tr><th>15</th><td>70</td><td>14.2</td><td>90</td><td>A</td><td>Static</td></tr><tr><th>16</th><td>54</td><td>12.9</td><td>30</td><td>A</td><td>Improved</td></tr><tr><th>17</th><td>18</td><td>12.3</td><td>20</td><td>B</td><td>Worse</td></tr><tr><th>18</th><td>78</td><td>11.0</td><td>30</td><td>A</td><td>Improved</td></tr><tr><th>19</th><td>53</td><td>12.7</td><td>60</td><td>B</td><td>Worse</td></tr><tr><th>20</th><td>53</td><td>15.5</td><td>100</td><td>A</td><td>Static</td></tr><tr><th>21</th><td>66</td><td>11.4</td><td>70</td><td>A</td><td>Worse</td></tr><tr><th>22</th><td>80</td><td>12.1</td><td>20</td><td>B</td><td>Static</td></tr><tr><th>23</th><td>46</td><td>10.3</td><td>70</td><td>B</td><td>Improved</td></tr><tr><th>24</th><td>58</td><td>10.9</td><td>20</td><td>B</td><td>Improved</td></tr><tr><th>25</th><td>68</td><td>12.2</td><td>20</td><td>B</td><td>Improved</td></tr><tr><th>26</th><td>58</td><td>8.3</td><td>20</td><td>B</td><td>Worse</td></tr><tr><th>27</th><td>20</td><td>11.7</td><td>40</td><td>A</td><td>Worse</td></tr><tr><th>28</th><td>38</td><td>14.8</td><td>60</td><td>A</td><td>Improved</td></tr><tr><th>29</th><td>76</td><td>12.4</td><td>30</td><td>B</td><td>Improved</td></tr><tr><th>30</th><td>23</td><td>4.9</td><td>40</td><td>B</td><td>Static</td></tr><tr><th>&vellip;</th><td>&vellip;</td><td>&vellip;</td><td>&vellip;</td><td>&vellip;</td><td>&vellip;</td></tr></tbody></table>"
      ],
      "text/latex": [
       "\\begin{tabular}{r|ccccc}\n",
       "\t& Age & WCC & CRP & Treatment & Result\\\\\n",
       "\t\\hline\n",
       "\t& Int64 & Float64 & Int64 & String & String\\\\\n",
       "\t\\hline\n",
       "\t1 & 39 & 9.3 & 10 & A & Worse \\\\\n",
       "\t2 & 51 & 14.6 & 50 & A & Worse \\\\\n",
       "\t3 & 75 & 7.1 & 50 & A & Improved \\\\\n",
       "\t4 & 59 & 12.0 & 10 & A & Improved \\\\\n",
       "\t5 & 62 & 13.6 & 60 & A & Static \\\\\n",
       "\t6 & 59 & 11.9 & 30 & B & Static \\\\\n",
       "\t7 & 31 & 10.6 & 10 & B & Static \\\\\n",
       "\t8 & 63 & 11.8 & 70 & A & Worse \\\\\n",
       "\t9 & 41 & 13.2 & 70 & A & Worse \\\\\n",
       "\t10 & 45 & 13.6 & 90 & B & Worse \\\\\n",
       "\t11 & 78 & 11.8 & 70 & B & Improved \\\\\n",
       "\t12 & 36 & 13.7 & 50 & A & Improved \\\\\n",
       "\t13 & 62 & 9.5 & 40 & A & Static \\\\\n",
       "\t14 & 34 & 13.6 & 30 & A & Static \\\\\n",
       "\t15 & 70 & 14.2 & 90 & A & Static \\\\\n",
       "\t16 & 54 & 12.9 & 30 & A & Improved \\\\\n",
       "\t17 & 18 & 12.3 & 20 & B & Worse \\\\\n",
       "\t18 & 78 & 11.0 & 30 & A & Improved \\\\\n",
       "\t19 & 53 & 12.7 & 60 & B & Worse \\\\\n",
       "\t20 & 53 & 15.5 & 100 & A & Static \\\\\n",
       "\t21 & 66 & 11.4 & 70 & A & Worse \\\\\n",
       "\t22 & 80 & 12.1 & 20 & B & Static \\\\\n",
       "\t23 & 46 & 10.3 & 70 & B & Improved \\\\\n",
       "\t24 & 58 & 10.9 & 20 & B & Improved \\\\\n",
       "\t25 & 68 & 12.2 & 20 & B & Improved \\\\\n",
       "\t26 & 58 & 8.3 & 20 & B & Worse \\\\\n",
       "\t27 & 20 & 11.7 & 40 & A & Worse \\\\\n",
       "\t28 & 38 & 14.8 & 60 & A & Improved \\\\\n",
       "\t29 & 76 & 12.4 & 30 & B & Improved \\\\\n",
       "\t30 & 23 & 4.9 & 40 & B & Static \\\\\n",
       "\t$\\dots$ & $\\dots$ & $\\dots$ & $\\dots$ & $\\dots$ & $\\dots$ \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/plain": [
       "100×5 DataFrame\n",
       "│ Row │ Age   │ WCC     │ CRP   │ Treatment │ Result   │\n",
       "│     │ \u001b[90mInt64\u001b[39m │ \u001b[90mFloat64\u001b[39m │ \u001b[90mInt64\u001b[39m │ \u001b[90mString\u001b[39m    │ \u001b[90mString\u001b[39m   │\n",
       "├─────┼───────┼─────────┼───────┼───────────┼──────────┤\n",
       "│ 1   │ 39    │ 9.3     │ 10    │ A         │ Worse    │\n",
       "│ 2   │ 51    │ 14.6    │ 50    │ A         │ Worse    │\n",
       "│ 3   │ 75    │ 7.1     │ 50    │ A         │ Improved │\n",
       "│ 4   │ 59    │ 12.0    │ 10    │ A         │ Improved │\n",
       "│ 5   │ 62    │ 13.6    │ 60    │ A         │ Static   │\n",
       "│ 6   │ 59    │ 11.9    │ 30    │ B         │ Static   │\n",
       "│ 7   │ 31    │ 10.6    │ 10    │ B         │ Static   │\n",
       "│ 8   │ 63    │ 11.8    │ 70    │ A         │ Worse    │\n",
       "│ 9   │ 41    │ 13.2    │ 70    │ A         │ Worse    │\n",
       "│ 10  │ 45    │ 13.6    │ 90    │ B         │ Worse    │\n",
       "⋮\n",
       "│ 90  │ 43    │ 12.5    │ 10    │ A         │ Improved │\n",
       "│ 91  │ 51    │ 14.1    │ 50    │ A         │ Worse    │\n",
       "│ 92  │ 35    │ 10.2    │ 40    │ B         │ Static   │\n",
       "│ 93  │ 52    │ 13.7    │ 70    │ A         │ Worse    │\n",
       "│ 94  │ 33    │ 11.2    │ 20    │ A         │ Improved │\n",
       "│ 95  │ 30    │ 12.5    │ 110   │ A         │ Worse    │\n",
       "│ 96  │ 60    │ 12.6    │ 30    │ A         │ Static   │\n",
       "│ 97  │ 25    │ 13.0    │ 20    │ B         │ Static   │\n",
       "│ 98  │ 76    │ 7.1     │ 10    │ A         │ Static   │\n",
       "│ 99  │ 54    │ 16.1    │ 50    │ B         │ Improved │\n",
       "│ 100 │ 36    │ 11.8    │ 10    │ A         │ Worse    │"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"data-frame\"><thead><tr><th></th><th>Group</th><th>Variable1</th><th>Variable2</th></tr><tr><th></th><th>String</th><th>Float64</th><th>Float64</th></tr></thead><tbody><p>20 rows × 3 columns</p><tr><th>1</th><td>B</td><td>-0.395164</td><td>0.785108</td></tr><tr><th>2</th><td>A</td><td>-0.477911</td><td>0.94664</td></tr><tr><th>3</th><td>B</td><td>1.3248</td><td>0.683507</td></tr><tr><th>4</th><td>A</td><td>2.18945</td><td>0.655638</td></tr><tr><th>5</th><td>B</td><td>-1.8022</td><td>0.40504</td></tr><tr><th>6</th><td>B</td><td>-0.0415339</td><td>0.0649169</td></tr><tr><th>7</th><td>A</td><td>-0.988776</td><td>0.579329</td></tr><tr><th>8</th><td>B</td><td>0.452246</td><td>0.0049928</td></tr><tr><th>9</th><td>B</td><td>-1.23054</td><td>0.529847</td></tr><tr><th>10</th><td>A</td><td>-0.923378</td><td>0.258118</td></tr><tr><th>11</th><td>B</td><td>0.874476</td><td>0.642472</td></tr><tr><th>12</th><td>A</td><td>-1.02009</td><td>0.0728385</td></tr><tr><th>13</th><td>B</td><td>-0.422106</td><td>0.319547</td></tr><tr><th>14</th><td>B</td><td>0.953726</td><td>0.0257164</td></tr><tr><th>15</th><td>A</td><td>-2.52417</td><td>0.0487641</td></tr><tr><th>16</th><td>B</td><td>0.494937</td><td>0.869764</td></tr><tr><th>17</th><td>A</td><td>1.47704</td><td>0.824756</td></tr><tr><th>18</th><td>A</td><td>-0.133367</td><td>0.875263</td></tr><tr><th>19</th><td>B</td><td>-0.906293</td><td>0.0709776</td></tr><tr><th>20</th><td>B</td><td>-0.36659</td><td>0.452148</td></tr></tbody></table>"
      ],
      "text/latex": [
       "\\begin{tabular}{r|ccc}\n",
       "\t& Group & Variable1 & Variable2\\\\\n",
       "\t\\hline\n",
       "\t& String & Float64 & Float64\\\\\n",
       "\t\\hline\n",
       "\t1 & B & -0.395164 & 0.785108 \\\\\n",
       "\t2 & A & -0.477911 & 0.94664 \\\\\n",
       "\t3 & B & 1.3248 & 0.683507 \\\\\n",
       "\t4 & A & 2.18945 & 0.655638 \\\\\n",
       "\t5 & B & -1.8022 & 0.40504 \\\\\n",
       "\t6 & B & -0.0415339 & 0.0649169 \\\\\n",
       "\t7 & A & -0.988776 & 0.579329 \\\\\n",
       "\t8 & B & 0.452246 & 0.0049928 \\\\\n",
       "\t9 & B & -1.23054 & 0.529847 \\\\\n",
       "\t10 & A & -0.923378 & 0.258118 \\\\\n",
       "\t11 & B & 0.874476 & 0.642472 \\\\\n",
       "\t12 & A & -1.02009 & 0.0728385 \\\\\n",
       "\t13 & B & -0.422106 & 0.319547 \\\\\n",
       "\t14 & B & 0.953726 & 0.0257164 \\\\\n",
       "\t15 & A & -2.52417 & 0.0487641 \\\\\n",
       "\t16 & B & 0.494937 & 0.869764 \\\\\n",
       "\t17 & A & 1.47704 & 0.824756 \\\\\n",
       "\t18 & A & -0.133367 & 0.875263 \\\\\n",
       "\t19 & B & -0.906293 & 0.0709776 \\\\\n",
       "\t20 & B & -0.36659 & 0.452148 \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/plain": [
       "20×3 DataFrame\n",
       "│ Row │ Group  │ Variable1  │ Variable2 │\n",
       "│     │ \u001b[90mString\u001b[39m │ \u001b[90mFloat64\u001b[39m    │ \u001b[90mFloat64\u001b[39m   │\n",
       "├─────┼────────┼────────────┼───────────┤\n",
       "│ 1   │ B      │ -0.395164  │ 0.785108  │\n",
       "│ 2   │ A      │ -0.477911  │ 0.94664   │\n",
       "│ 3   │ B      │ 1.3248     │ 0.683507  │\n",
       "│ 4   │ A      │ 2.18945    │ 0.655638  │\n",
       "│ 5   │ B      │ -1.8022    │ 0.40504   │\n",
       "│ 6   │ B      │ -0.0415339 │ 0.0649169 │\n",
       "│ 7   │ A      │ -0.988776  │ 0.579329  │\n",
       "│ 8   │ B      │ 0.452246   │ 0.0049928 │\n",
       "│ 9   │ B      │ -1.23054   │ 0.529847  │\n",
       "│ 10  │ A      │ -0.923378  │ 0.258118  │\n",
       "│ 11  │ B      │ 0.874476   │ 0.642472  │\n",
       "│ 12  │ A      │ -1.02009   │ 0.0728385 │\n",
       "│ 13  │ B      │ -0.422106  │ 0.319547  │\n",
       "│ 14  │ B      │ 0.953726   │ 0.0257164 │\n",
       "│ 15  │ A      │ -2.52417   │ 0.0487641 │\n",
       "│ 16  │ B      │ 0.494937   │ 0.869764  │\n",
       "│ 17  │ A      │ 1.47704    │ 0.824756  │\n",
       "│ 18  │ A      │ -0.133367  │ 0.875263  │\n",
       "│ 19  │ B      │ -0.906293  │ 0.0709776 │\n",
       "│ 20  │ B      │ -0.36659   │ 0.452148  │"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "DataFrame(Group=rand([\"A\", \"B\"], 20), Variable1=randn(20), Variable2=rand(20))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<p>DataFrameRow (5 columns)</p><table class=\"data-frame\"><thead><tr><th></th><th>Age</th><th>WCC</th><th>CRP</th><th>Treatment</th><th>Result</th></tr><tr><th></th><th>Int64</th><th>Float64</th><th>Int64</th><th>String</th><th>String</th></tr></thead><tbody><tr><th>3</th><td>75</td><td>7.1</td><td>50</td><td>A</td><td>Improved</td></tr></tbody></table>"
      ],
      "text/latex": [
       "\\begin{tabular}{r|ccccc}\n",
       "\t& Age & WCC & CRP & Treatment & Result\\\\\n",
       "\t\\hline\n",
       "\t& Int64 & Float64 & Int64 & String & String\\\\\n",
       "\t\\hline\n",
       "\t3 & 75 & 7.1 & 50 & A & Improved \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/plain": [
       "DataFrameRow\n",
       "│ Row │ Age   │ WCC     │ CRP   │ Treatment │ Result   │\n",
       "│     │ \u001b[90mInt64\u001b[39m │ \u001b[90mFloat64\u001b[39m │ \u001b[90mInt64\u001b[39m │ \u001b[90mString\u001b[39m    │ \u001b[90mString\u001b[39m   │\n",
       "├─────┼───────┼─────────┼───────┼───────────┼──────────┤\n",
       "│ 3   │ 75    │ 7.1     │ 50    │ A         │ Improved │"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "view(test1,3,:)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"data-frame\"><thead><tr><th></th><th>Age</th><th>WCC</th><th>CRP</th><th>Treatment</th><th>Result</th></tr><tr><th></th><th>Int64</th><th>Float64</th><th>Int64</th><th>String</th><th>String</th></tr></thead><tbody><p>97 rows × 5 columns</p><tr><th>1</th><td>39</td><td>9.3</td><td>10</td><td>A</td><td>Worse</td></tr><tr><th>2</th><td>51</td><td>14.6</td><td>50</td><td>A</td><td>Worse</td></tr><tr><th>3</th><td>59</td><td>12.0</td><td>10</td><td>A</td><td>Improved</td></tr><tr><th>4</th><td>59</td><td>11.9</td><td>30</td><td>B</td><td>Static</td></tr><tr><th>5</th><td>31</td><td>10.6</td><td>10</td><td>B</td><td>Static</td></tr><tr><th>6</th><td>63</td><td>11.8</td><td>70</td><td>A</td><td>Worse</td></tr><tr><th>7</th><td>45</td><td>13.6</td><td>90</td><td>B</td><td>Worse</td></tr><tr><th>8</th><td>78</td><td>11.8</td><td>70</td><td>B</td><td>Improved</td></tr><tr><th>9</th><td>36</td><td>13.7</td><td>50</td><td>A</td><td>Improved</td></tr><tr><th>10</th><td>62</td><td>9.5</td><td>40</td><td>A</td><td>Static</td></tr><tr><th>11</th><td>34</td><td>13.6</td><td>30</td><td>A</td><td>Static</td></tr><tr><th>12</th><td>70</td><td>14.2</td><td>90</td><td>A</td><td>Static</td></tr><tr><th>13</th><td>54</td><td>12.9</td><td>30</td><td>A</td><td>Improved</td></tr><tr><th>14</th><td>18</td><td>12.3</td><td>20</td><td>B</td><td>Worse</td></tr><tr><th>15</th><td>78</td><td>11.0</td><td>30</td><td>A</td><td>Improved</td></tr><tr><th>16</th><td>53</td><td>12.7</td><td>60</td><td>B</td><td>Worse</td></tr><tr><th>17</th><td>53</td><td>15.5</td><td>100</td><td>A</td><td>Static</td></tr><tr><th>18</th><td>66</td><td>11.4</td><td>70</td><td>A</td><td>Worse</td></tr><tr><th>19</th><td>80</td><td>12.1</td><td>20</td><td>B</td><td>Static</td></tr><tr><th>20</th><td>46</td><td>10.3</td><td>70</td><td>B</td><td>Improved</td></tr><tr><th>21</th><td>58</td><td>10.9</td><td>20</td><td>B</td><td>Improved</td></tr><tr><th>22</th><td>68</td><td>12.2</td><td>20</td><td>B</td><td>Improved</td></tr><tr><th>23</th><td>58</td><td>8.3</td><td>20</td><td>B</td><td>Worse</td></tr><tr><th>24</th><td>20</td><td>11.7</td><td>40</td><td>A</td><td>Worse</td></tr><tr><th>25</th><td>38</td><td>14.8</td><td>60</td><td>A</td><td>Improved</td></tr><tr><th>26</th><td>76</td><td>12.4</td><td>30</td><td>B</td><td>Improved</td></tr><tr><th>27</th><td>23</td><td>4.9</td><td>40</td><td>B</td><td>Static</td></tr><tr><th>28</th><td>80</td><td>13.7</td><td>80</td><td>B</td><td>Static</td></tr><tr><th>29</th><td>65</td><td>12.4</td><td>10</td><td>B</td><td>Improved</td></tr><tr><th>30</th><td>22</td><td>14.7</td><td>10</td><td>B</td><td>Improved</td></tr><tr><th>&vellip;</th><td>&vellip;</td><td>&vellip;</td><td>&vellip;</td><td>&vellip;</td><td>&vellip;</td></tr></tbody></table>"
      ],
      "text/latex": [
       "\\begin{tabular}{r|ccccc}\n",
       "\t& Age & WCC & CRP & Treatment & Result\\\\\n",
       "\t\\hline\n",
       "\t& Int64 & Float64 & Int64 & String & String\\\\\n",
       "\t\\hline\n",
       "\t1 & 39 & 9.3 & 10 & A & Worse \\\\\n",
       "\t2 & 51 & 14.6 & 50 & A & Worse \\\\\n",
       "\t3 & 59 & 12.0 & 10 & A & Improved \\\\\n",
       "\t4 & 59 & 11.9 & 30 & B & Static \\\\\n",
       "\t5 & 31 & 10.6 & 10 & B & Static \\\\\n",
       "\t6 & 63 & 11.8 & 70 & A & Worse \\\\\n",
       "\t7 & 45 & 13.6 & 90 & B & Worse \\\\\n",
       "\t8 & 78 & 11.8 & 70 & B & Improved \\\\\n",
       "\t9 & 36 & 13.7 & 50 & A & Improved \\\\\n",
       "\t10 & 62 & 9.5 & 40 & A & Static \\\\\n",
       "\t11 & 34 & 13.6 & 30 & A & Static \\\\\n",
       "\t12 & 70 & 14.2 & 90 & A & Static \\\\\n",
       "\t13 & 54 & 12.9 & 30 & A & Improved \\\\\n",
       "\t14 & 18 & 12.3 & 20 & B & Worse \\\\\n",
       "\t15 & 78 & 11.0 & 30 & A & Improved \\\\\n",
       "\t16 & 53 & 12.7 & 60 & B & Worse \\\\\n",
       "\t17 & 53 & 15.5 & 100 & A & Static \\\\\n",
       "\t18 & 66 & 11.4 & 70 & A & Worse \\\\\n",
       "\t19 & 80 & 12.1 & 20 & B & Static \\\\\n",
       "\t20 & 46 & 10.3 & 70 & B & Improved \\\\\n",
       "\t21 & 58 & 10.9 & 20 & B & Improved \\\\\n",
       "\t22 & 68 & 12.2 & 20 & B & Improved \\\\\n",
       "\t23 & 58 & 8.3 & 20 & B & Worse \\\\\n",
       "\t24 & 20 & 11.7 & 40 & A & Worse \\\\\n",
       "\t25 & 38 & 14.8 & 60 & A & Improved \\\\\n",
       "\t26 & 76 & 12.4 & 30 & B & Improved \\\\\n",
       "\t27 & 23 & 4.9 & 40 & B & Static \\\\\n",
       "\t28 & 80 & 13.7 & 80 & B & Static \\\\\n",
       "\t29 & 65 & 12.4 & 10 & B & Improved \\\\\n",
       "\t30 & 22 & 14.7 & 10 & B & Improved \\\\\n",
       "\t$\\dots$ & $\\dots$ & $\\dots$ & $\\dots$ & $\\dots$ & $\\dots$ \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/plain": [
       "97×5 DataFrame\n",
       "│ Row │ Age   │ WCC     │ CRP   │ Treatment │ Result   │\n",
       "│     │ \u001b[90mInt64\u001b[39m │ \u001b[90mFloat64\u001b[39m │ \u001b[90mInt64\u001b[39m │ \u001b[90mString\u001b[39m    │ \u001b[90mString\u001b[39m   │\n",
       "├─────┼───────┼─────────┼───────┼───────────┼──────────┤\n",
       "│ 1   │ 39    │ 9.3     │ 10    │ A         │ Worse    │\n",
       "│ 2   │ 51    │ 14.6    │ 50    │ A         │ Worse    │\n",
       "│ 3   │ 59    │ 12.0    │ 10    │ A         │ Improved │\n",
       "│ 4   │ 59    │ 11.9    │ 30    │ B         │ Static   │\n",
       "│ 5   │ 31    │ 10.6    │ 10    │ B         │ Static   │\n",
       "│ 6   │ 63    │ 11.8    │ 70    │ A         │ Worse    │\n",
       "│ 7   │ 45    │ 13.6    │ 90    │ B         │ Worse    │\n",
       "│ 8   │ 78    │ 11.8    │ 70    │ B         │ Improved │\n",
       "│ 9   │ 36    │ 13.7    │ 50    │ A         │ Improved │\n",
       "│ 10  │ 62    │ 9.5     │ 40    │ A         │ Static   │\n",
       "⋮\n",
       "│ 87  │ 43    │ 12.5    │ 10    │ A         │ Improved │\n",
       "│ 88  │ 51    │ 14.1    │ 50    │ A         │ Worse    │\n",
       "│ 89  │ 35    │ 10.2    │ 40    │ B         │ Static   │\n",
       "│ 90  │ 52    │ 13.7    │ 70    │ A         │ Worse    │\n",
       "│ 91  │ 33    │ 11.2    │ 20    │ A         │ Improved │\n",
       "│ 92  │ 30    │ 12.5    │ 110   │ A         │ Worse    │\n",
       "│ 93  │ 60    │ 12.6    │ 30    │ A         │ Static   │\n",
       "│ 94  │ 25    │ 13.0    │ 20    │ B         │ Static   │\n",
       "│ 95  │ 76    │ 7.1     │ 10    │ A         │ Static   │\n",
       "│ 96  │ 54    │ 16.1    │ 50    │ B         │ Improved │\n",
       "│ 97  │ 36    │ 11.8    │ 10    │ A         │ Worse    │"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test1[[1:2;4:4;6:8;10:end],:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "101.20293783633616"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "var(rand(Normal(80, 10), 200))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-0.0520584551299503"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean(randn(100))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "TDist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "EqualVarianceTTest()"
   ]
  }
 ],
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