q4.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from src.hypothesis_test import *\n",
    "from src.modules import *\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "lung_cancer = pd.read_csv('data_sets/lung_cancer_examples.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div dir = \"rtl\" >\n",
    "    بخشی از دیتاست رو در زیر میتونید مشاهده کنید.\n",
    "    </div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Name</th>\n",
       "      <th>Surname</th>\n",
       "      <th>Age</th>\n",
       "      <th>Smokes</th>\n",
       "      <th>AreaQ</th>\n",
       "      <th>Alkhol</th>\n",
       "      <th>Result</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>John</td>\n",
       "      <td>Wick</td>\n",
       "      <td>35</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>John</td>\n",
       "      <td>Constantine</td>\n",
       "      <td>27</td>\n",
       "      <td>20</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Camela</td>\n",
       "      <td>Anderson</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Alex</td>\n",
       "      <td>Telles</td>\n",
       "      <td>28</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Diego</td>\n",
       "      <td>Maradona</td>\n",
       "      <td>68</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      "text/plain": [
       "     Name      Surname  Age  Smokes  AreaQ  Alkhol  Result\n",
       "0    John         Wick   35       3      5       4       1\n",
       "1    John  Constantine   27      20      2       5       1\n",
       "2  Camela     Anderson   30       0      5       2       0\n",
       "3    Alex       Telles   28       0      8       1       0\n",
       "4   Diego     Maradona   68       4      5       6       1"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lung_cancer.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div dir = \"rtl\" >\n",
    "    نمودار چگالی تعداد بار سیگار کشیدن را برای افراد بیمار در زیر مشاهده کنید.\n",
    "    </div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
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   "source": [
    "density(lung_cancer, ['Smokes'], bin_size = 5, criteria='Result == 1')"
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div dir = \"rtl\" >\n",
    "    نمودار چگالی تعداد بار سیگار کشیدن را برای افراد سالم در زیر مشاهده کنید.\n",
    "    <br>\n",
    "     با توجه به این دو نمودار چه فرض دارید؟\n",
    "    <div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
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     "metadata": {},
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   ],
   "source": [
    "density(lung_cancer, ['Smokes'], bin_size = 5, criteria='Result == 0')"
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div dir = \"rtl\" >\n",
    "    با کمک منتورها، برای آزمون فرض خود از کل داده ها چند بار داده ها را به دو دسته تصادفی تقسیم کنید و میانگین آنها را بررسی کنید.\n",
    "    <br>\n",
    "     برای این کار از تابع random_grouping استفاده کنید.\n",
    "    </div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
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   "source": [
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   "source": [
    "<div dir = \"rtl\">\n",
    "    حالا با کمک تابع permutation_test  نمودار کل اختلاف میانگین های دو دسته را رسم کنید.\n",
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     "text": [
      "C:\\Users\\mahsa\\Anaconda3\\lib\\random.py:275: SettingWithCopyWarning:\n",
      "\n",
      "\n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "\n"
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    "permutation_test(lung_cancer, \"Result\", \"Smokes\")"
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    "<div dir = \"rtl\">\n",
    "نمودار را تحلیل کنید.\n",
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   "execution_count": null,
   "metadata": {},
   "outputs": [],
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