diff --git a/your-code/main.ipynb b/your-code/main.ipynb
index 4128c1e..85bb336 100755
--- a/your-code/main.ipynb
+++ b/your-code/main.ipynb
@@ -12,11 +12,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 251,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# import numpy and pandas\n"
+    "# import numpy and pandas\n",
+    "import numpy as np \n",
+    "import pandas as pd\n",
+    "from scipy.stats import trim_mean, mode, skew, gaussian_kde, pearsonr, spearmanr, beta\n",
+    "from statsmodels.stats.weightstats import ztest as ztest\n",
+    "from scipy.stats import ttest_ind, norm, t\n",
+    "from scipy.stats import f_oneway\n",
+    "from scipy.stats import sem\n",
+    "from statsmodels.stats.proportion import proportions_ztest as proportions_ztest\n"
    ]
   },
   {
@@ -30,7 +38,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -48,11 +56,130 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 11,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Name</th>\n",
+       "      <th>Job Titles</th>\n",
+       "      <th>Department</th>\n",
+       "      <th>Full or Part-Time</th>\n",
+       "      <th>Salary or Hourly</th>\n",
+       "      <th>Typical Hours</th>\n",
+       "      <th>Annual Salary</th>\n",
+       "      <th>Hourly Rate</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>AARON,  JEFFERY M</td>\n",
+       "      <td>SERGEANT</td>\n",
+       "      <td>POLICE</td>\n",
+       "      <td>F</td>\n",
+       "      <td>Salary</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>101442.0</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>AARON,  KARINA</td>\n",
+       "      <td>POLICE OFFICER (ASSIGNED AS DETECTIVE)</td>\n",
+       "      <td>POLICE</td>\n",
+       "      <td>F</td>\n",
+       "      <td>Salary</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>94122.0</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>AARON,  KIMBERLEI R</td>\n",
+       "      <td>CHIEF CONTRACT EXPEDITER</td>\n",
+       "      <td>GENERAL SERVICES</td>\n",
+       "      <td>F</td>\n",
+       "      <td>Salary</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>101592.0</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>ABAD JR,  VICENTE M</td>\n",
+       "      <td>CIVIL ENGINEER IV</td>\n",
+       "      <td>WATER MGMNT</td>\n",
+       "      <td>F</td>\n",
+       "      <td>Salary</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>110064.0</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>ABASCAL,  REECE E</td>\n",
+       "      <td>TRAFFIC CONTROL AIDE-HOURLY</td>\n",
+       "      <td>OEMC</td>\n",
+       "      <td>P</td>\n",
+       "      <td>Hourly</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>19.86</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  Name                              Job Titles  \\\n",
+       "0    AARON,  JEFFERY M                                SERGEANT   \n",
+       "1      AARON,  KARINA   POLICE OFFICER (ASSIGNED AS DETECTIVE)   \n",
+       "2  AARON,  KIMBERLEI R                CHIEF CONTRACT EXPEDITER   \n",
+       "3  ABAD JR,  VICENTE M                       CIVIL ENGINEER IV   \n",
+       "4    ABASCAL,  REECE E             TRAFFIC CONTROL AIDE-HOURLY   \n",
+       "\n",
+       "         Department Full or Part-Time Salary or Hourly  Typical Hours  \\\n",
+       "0            POLICE                 F           Salary            NaN   \n",
+       "1            POLICE                 F           Salary            NaN   \n",
+       "2  GENERAL SERVICES                 F           Salary            NaN   \n",
+       "3       WATER MGMNT                 F           Salary            NaN   \n",
+       "4              OEMC                 P           Hourly           20.0   \n",
+       "\n",
+       "   Annual Salary  Hourly Rate  \n",
+       "0       101442.0          NaN  \n",
+       "1        94122.0          NaN  \n",
+       "2       101592.0          NaN  \n",
+       "3       110064.0          NaN  \n",
+       "4            NaN        19.86  "
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here:\n"
+    "salaries.head()"
    ]
   },
   {
@@ -64,11 +191,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 48,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Name                     0\n",
+       "Job Titles               0\n",
+       "Department               0\n",
+       "Full or Part-Time        0\n",
+       "Salary or Hourly         0\n",
+       "Typical Hours        25161\n",
+       "Annual Salary         8022\n",
+       "Hourly Rate          25161\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 48,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here:\n"
+    "\n",
+    "salaries.isna().sum()\n",
+    "# Isues in Typical Hours, Hourly Rate, and Annual Salary \n"
    ]
   },
   {
@@ -80,12 +228,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 58,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Salaried: 25161 \n",
+      " Hourly: 8022\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here:\n",
-    "\n"
+    "Salary= len(salaries[salaries['Salary or Hourly']== 'Salary'])\n",
+    "\n",
+    "Hourly= len(salaries[salaries['Salary or Hourly']== 'Hourly'])\n",
+    "\n",
+    "print(f'Salaried: {Salary} \\n Hourly: {Hourly}')\n"
    ]
   },
   {
@@ -104,11 +264,229 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 72,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Name</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Department</th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>ADMIN HEARNG</th>\n",
+       "      <td>39</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ANIMAL CONTRL</th>\n",
+       "      <td>81</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>AVIATION</th>\n",
+       "      <td>1629</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BOARD OF ELECTION</th>\n",
+       "      <td>107</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BOARD OF ETHICS</th>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BUDGET &amp; MGMT</th>\n",
+       "      <td>46</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BUILDINGS</th>\n",
+       "      <td>269</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BUSINESS AFFAIRS</th>\n",
+       "      <td>171</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CITY CLERK</th>\n",
+       "      <td>84</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CITY COUNCIL</th>\n",
+       "      <td>411</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>COMMUNITY DEVELOPMENT</th>\n",
+       "      <td>207</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>COPA</th>\n",
+       "      <td>116</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CULTURAL AFFAIRS</th>\n",
+       "      <td>65</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>DISABILITIES</th>\n",
+       "      <td>28</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>DoIT</th>\n",
+       "      <td>99</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>FAMILY &amp; SUPPORT</th>\n",
+       "      <td>615</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>FINANCE</th>\n",
+       "      <td>560</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>FIRE</th>\n",
+       "      <td>4641</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>GENERAL SERVICES</th>\n",
+       "      <td>980</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>HEALTH</th>\n",
+       "      <td>488</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>HUMAN RELATIONS</th>\n",
+       "      <td>16</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>HUMAN RESOURCES</th>\n",
+       "      <td>79</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>INSPECTOR GEN</th>\n",
+       "      <td>87</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>LAW</th>\n",
+       "      <td>407</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>LICENSE APPL COMM</th>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MAYOR'S OFFICE</th>\n",
+       "      <td>85</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>OEMC</th>\n",
+       "      <td>2102</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>POLICE</th>\n",
+       "      <td>13414</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>POLICE BOARD</th>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PROCUREMENT</th>\n",
+       "      <td>92</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PUBLIC LIBRARY</th>\n",
+       "      <td>1015</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>STREETS &amp; SAN</th>\n",
+       "      <td>2198</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>TRANSPORTN</th>\n",
+       "      <td>1140</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>TREASURER</th>\n",
+       "      <td>22</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>WATER MGMNT</th>\n",
+       "      <td>1879</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                        Name\n",
+       "Department                  \n",
+       "ADMIN HEARNG              39\n",
+       "ANIMAL CONTRL             81\n",
+       "AVIATION                1629\n",
+       "BOARD OF ELECTION        107\n",
+       "BOARD OF ETHICS            8\n",
+       "BUDGET & MGMT             46\n",
+       "BUILDINGS                269\n",
+       "BUSINESS AFFAIRS         171\n",
+       "CITY CLERK                84\n",
+       "CITY COUNCIL             411\n",
+       "COMMUNITY DEVELOPMENT    207\n",
+       "COPA                     116\n",
+       "CULTURAL AFFAIRS          65\n",
+       "DISABILITIES              28\n",
+       "DoIT                      99\n",
+       "FAMILY & SUPPORT         615\n",
+       "FINANCE                  560\n",
+       "FIRE                    4641\n",
+       "GENERAL SERVICES         980\n",
+       "HEALTH                   488\n",
+       "HUMAN RELATIONS           16\n",
+       "HUMAN RESOURCES           79\n",
+       "INSPECTOR GEN             87\n",
+       "LAW                      407\n",
+       "LICENSE APPL COMM          1\n",
+       "MAYOR'S OFFICE            85\n",
+       "OEMC                    2102\n",
+       "POLICE                 13414\n",
+       "POLICE BOARD               2\n",
+       "PROCUREMENT               92\n",
+       "PUBLIC LIBRARY          1015\n",
+       "STREETS & SAN           2198\n",
+       "TRANSPORTN              1140\n",
+       "TREASURER                 22\n",
+       "WATER MGMNT             1879"
+      ]
+     },
+     "execution_count": 72,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here:\n"
+    "salaries[['Name', 'Department']].groupby('Department').count()"
    ]
   },
   {
@@ -122,17 +500,70 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 81,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/Ironhack/lib/python3.7/site-packages/pandas/core/frame.py:4913: SettingWithCopyWarning: \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: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  errors=errors,\n"
+     ]
+    }
+   ],
+   "source": [
+    "hourly= salaries[salaries['Salary or Hourly']== 'Hourly']\n",
+    "hourly.drop('Annual Salary', inplace= True, axis=1)\n",
+    "hourly.reset_index(drop= True, inplace= True)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 133,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Your code here:\n"
+    "hourlyrate= hourly['Hourly Rate']\n",
+    "data = np.random.normal(hourlyrate.mean(), pop_std, n)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 219,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "p-value: 1.8228873859286195e-94\n",
+      "Rejection of H0. Keep the alternative: wage of all hourly workers is significantly different from $30/hr\n"
+     ]
+    }
+   ],
+   "source": [
+    "hourlyrate.dropna(inplace = True)\n",
+    "\n",
+    "statistic, p_value = ztest(hourlyrate, value = 30, alternative=\"two-sided\")\n",
+    "print(f'p-value: {p_value}')\n",
+    "\n",
+    "if p_value < 0.05:\n",
+    "    print(\"Rejection of H0. Keep the alternative: wage of all hourly workers is significantly different from $30/hr\")\n",
+    "if p_value > 0.05:\n",
+    "    print(\"We don't have enough evidence to reject H0\")"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
+    "\n",
     "We are also curious about salaries in the police force. The chief of police in Chicago claimed in a press briefing that salaries this year are higher than last year's mean of $86000/year a year for all salaried employees. Test this one sided hypothesis using a 95% confidence interval.\n",
     "\n",
     "Hint: A one tailed test has a p-value that is half of the two tailed p-value. If our hypothesis is greater than, then to reject, the test statistic must also be positive."
@@ -140,11 +571,39 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
+   "execution_count": 215,
+   "metadata": {
+    "scrolled": true
+   },
    "outputs": [],
    "source": [
-    "# Your code here:\n"
+    "police=salaries[salaries[\"Department\"] == \"POLICE\"]\n",
+    "poSalary= police['Annual Salary']\n",
+    "poSalary.dropna(inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 221,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "p-value: 0.002056169057509571\n",
+      "Rejection of H0. Keep the alternative: salaries this year are higher than last year's mean of $86000/year a year for all salaried employees\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "statistic, p_value = ztest(poSalary, value = 86000, alternative=\"two-sided\")\n",
+    "print(f'p-value: {p_value}')\n",
+    "if p_value < 0.05:\n",
+    "    print(\"Rejection of H0. Keep the alternative: salaries this year are higher than last year's mean of $86000/year a year for all salaried employees\")\n",
+    "if p_value > 0.05:\n",
+    "    print(\"We don't have enough evidence to reject H0\")\n"
    ]
   },
   {
@@ -156,11 +615,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 241,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Your code here:\n"
+    "depts= pd.crosstab(index = salaries['Department'], columns = salaries['Salary or Hourly'])\n",
+    "depts[depts.index== 'STREETS & SAN']\n",
+    "\n",
+    "StS= salaries[(salaries['Salary or Hourly']== 'Hourly') &  (salaries['Department']== 'STREETS & SAN')]\n",
+    "shr= StS['Hourly Rate']"
    ]
   },
   {
@@ -172,11 +635,29 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 244,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "p-value: 5.478855641943434e-22\n",
+      "Rejection of H0. Keep the alternative: salaries this year are higher than last year's mean of $86000/year a year for all salaried employees\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here:\n"
+    "# STREETS & SAN\n",
+    "\n",
+    "statistic, p_value = ztest(shr, value = 35, alternative=\"smaller\")\n",
+    "print(f'p-value: {p_value}')\n",
+    "if p_value < 0.05:\n",
+    "    print(\"Rejection of H0. Keep the alternative: hourly wage is less than $35/hour\")\n",
+    "if p_value > 0.05:\n",
+    "    print(\"We don't have enough evidence to reject H0\")\n",
+    "    \n",
+    "    "
    ]
   },
   {
@@ -200,11 +681,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 248,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(32.52345834488425, 33.05365708767623)"
+      ]
+     },
+     "execution_count": 248,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here:\n"
+    "sem_hourly = sem(hourlyrate,  nan_policy='omit')\n",
+    "\n",
+    "t.interval(0.95, df = len(hourlyrate)-1, loc=hourlyrate.mean(), scale=sem_hourly)"
    ]
   },
   {
@@ -216,11 +710,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 250,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(86177.05631531784, 86795.77269094894)"
+      ]
+     },
+     "execution_count": 250,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here:\n"
+    "sem_poSalary= sem(poSalary,  nan_policy='omit')\n",
+    "t.interval(0.95, df = len(poSalary)-1, loc=poSalary.mean(), scale=sem_poSalary)"
    ]
   },
   {
@@ -238,17 +744,51 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 259,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Hourly workers in the City of Chicago is significantly different from 25%\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "0.0004481127249057967"
+      ]
+     },
+     "execution_count": 259,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here:\n"
+    "count= len(hourly)\n",
+    "nobs= len(salaries)\n",
+    "\n",
+    "statistic, p_value =  proportions_ztest(count, nobs, value=0.25, alternative='two-sided')\n",
+    "if p_value < 0.05:\n",
+    "    print(f\"Hourly workers in the City of Chicago is significantly different from 25%\")\n",
+    "if p_value > 0.05:\n",
+    "    print(f\"We don't have enough evidence to reject H0\")\n",
+    "    \n",
+    "p_value"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -262,7 +802,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.3"
+   "version": "3.7.13"
   }
  },
  "nbformat": 4,