diff --git a/your-code/main.ipynb b/your-code/main.ipynb
index 59b955a..6af3906 100755
--- a/your-code/main.ipynb
+++ b/your-code/main.ipynb
@@ -12,12 +12,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# import numpy and pandas\n",
-    "\n"
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import scipy.stats as st"
    ]
   },
   {
@@ -31,11 +32,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Your code here:\n"
+    "salaries = pd.read_csv(\"Current_Employee_Names__Salaries__and_Position_Titles.csv\")"
    ]
   },
   {
@@ -47,12 +48,130 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "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": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here:\n",
-    "\n"
+    "salaries.head()"
    ]
   },
   {
@@ -64,12 +183,30 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "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": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here:\n",
-    "\n"
+    "salaries.isnull().sum()"
    ]
   },
   {
@@ -81,12 +218,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Salary    25161\n",
+       "Hourly     8022\n",
+       "Name: Salary or Hourly, dtype: int64"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here:\n",
-    "\n"
+    "salaries[\"Salary or Hourly\"].value_counts()"
    ]
   },
   {
@@ -105,12 +254,57 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "POLICE                   13414\n",
+       "FIRE                      4641\n",
+       "STREETS & SAN             2198\n",
+       "OEMC                      2102\n",
+       "WATER MGMNT               1879\n",
+       "AVIATION                  1629\n",
+       "TRANSPORTN                1140\n",
+       "PUBLIC LIBRARY            1015\n",
+       "GENERAL SERVICES           980\n",
+       "FAMILY & SUPPORT           615\n",
+       "FINANCE                    560\n",
+       "HEALTH                     488\n",
+       "CITY COUNCIL               411\n",
+       "LAW                        407\n",
+       "BUILDINGS                  269\n",
+       "COMMUNITY DEVELOPMENT      207\n",
+       "BUSINESS AFFAIRS           171\n",
+       "COPA                       116\n",
+       "BOARD OF ELECTION          107\n",
+       "DoIT                        99\n",
+       "PROCUREMENT                 92\n",
+       "INSPECTOR GEN               87\n",
+       "MAYOR'S OFFICE              85\n",
+       "CITY CLERK                  84\n",
+       "ANIMAL CONTRL               81\n",
+       "HUMAN RESOURCES             79\n",
+       "CULTURAL AFFAIRS            65\n",
+       "BUDGET & MGMT               46\n",
+       "ADMIN HEARNG                39\n",
+       "DISABILITIES                28\n",
+       "TREASURER                   22\n",
+       "HUMAN RELATIONS             16\n",
+       "BOARD OF ETHICS              8\n",
+       "POLICE BOARD                 2\n",
+       "LICENSE APPL COMM            1\n",
+       "Name: Department, dtype: int64"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here:\n",
-    "\n"
+    "salaries[\"Department\"].value_counts()"
    ]
   },
   {
@@ -124,12 +318,39 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 21,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "4.3230240486229894e-92\n",
+      "Reject Null Hypothesis\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here:\n",
-    "\n"
+    "# Hypothesis\n",
+    "# H0: average hourly wage != ~30\n",
+    "# H1: average hours wage = ~30\n",
+    "\n",
+    "# Significance Level\n",
+    "alpha = 0.05\n",
+    "\n",
+    "#3 Sample\n",
+    "sample = salaries[\"Hourly Rate\"]\n",
+    "sample.dropna(inplace=True)\n",
+    "\n",
+    "#4 Compute Statistics\n",
+    "\n",
+    "mean_sample = sample.mean()\n",
+    "std_sample = sample.std(ddof=1)\n",
+    "n = len(sample)\n",
+    "\n",
+    "#5 Get p-value\n",
+    "print(st.ttest_1samp(sample, 30, alternative = \"two-sided\")[1])\n",
+    "print(\"Reject Null Hypothesis\")"
    ]
   },
   {
@@ -143,12 +364,56 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 27,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.0010301701775482569\n",
+      "P-value: 0.0010301701775482569\n",
+      "Reject Null Hypothesis\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Jacob\\AppData\\Local\\Temp\\ipykernel_10136\\2356867737.py:10: 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",
+      "  sample.dropna(inplace=True)\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here:\n",
-    "\n"
+    "# Hypothesis\n",
+    "# H0: average police salary <= 86.00\n",
+    "# H1: average police salary > 86.00\n",
+    "\n",
+    "# Significance Level\n",
+    "alpha = 0.05\n",
+    "\n",
+    "#3 Sample\n",
+    "sample = salaries[salaries[\"Department\"]==\"POLICE\"][\"Annual Salary\"]\n",
+    "sample.dropna(inplace=True)\n",
+    "\n",
+    "#4 Compute Statistics\n",
+    "\n",
+    "mean_sample = sample.mean()\n",
+    "std_sample = sample.std(ddof=1)\n",
+    "n = len(sample)\n",
+    "\n",
+    "#5 Get p-value\n",
+    "print(st.ttest_1samp(sample,86000 , alternative = \"greater\")[1])\n",
+    "p_value = st.ttest_1samp(sample, 86000, alternative=\"greater\")[1]\n",
+    "print(\"P-value:\", p_value)\n",
+    "if p_value < alpha:\n",
+    "    print(\"Reject Null Hypothesis\")\n",
+    "else:\n",
+    "    print(\"Fail to Reject Null Hypothesis\")"
    ]
   },
   {
@@ -160,12 +425,267 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 28,
    "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>Salary or Hourly</th>\n",
+       "      <th>Hourly</th>\n",
+       "      <th>Salary</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Department</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>ADMIN HEARNG</th>\n",
+       "      <td>0</td>\n",
+       "      <td>39</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ANIMAL CONTRL</th>\n",
+       "      <td>19</td>\n",
+       "      <td>62</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>AVIATION</th>\n",
+       "      <td>1082</td>\n",
+       "      <td>547</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BOARD OF ELECTION</th>\n",
+       "      <td>0</td>\n",
+       "      <td>107</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BOARD OF ETHICS</th>\n",
+       "      <td>0</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BUDGET &amp; MGMT</th>\n",
+       "      <td>2</td>\n",
+       "      <td>44</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BUILDINGS</th>\n",
+       "      <td>0</td>\n",
+       "      <td>269</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BUSINESS AFFAIRS</th>\n",
+       "      <td>7</td>\n",
+       "      <td>164</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CITY CLERK</th>\n",
+       "      <td>0</td>\n",
+       "      <td>84</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CITY COUNCIL</th>\n",
+       "      <td>64</td>\n",
+       "      <td>347</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>COMMUNITY DEVELOPMENT</th>\n",
+       "      <td>4</td>\n",
+       "      <td>203</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>COPA</th>\n",
+       "      <td>0</td>\n",
+       "      <td>116</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CULTURAL AFFAIRS</th>\n",
+       "      <td>7</td>\n",
+       "      <td>58</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>DISABILITIES</th>\n",
+       "      <td>0</td>\n",
+       "      <td>28</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>DoIT</th>\n",
+       "      <td>0</td>\n",
+       "      <td>99</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>FAMILY &amp; SUPPORT</th>\n",
+       "      <td>287</td>\n",
+       "      <td>328</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>FINANCE</th>\n",
+       "      <td>44</td>\n",
+       "      <td>516</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>FIRE</th>\n",
+       "      <td>2</td>\n",
+       "      <td>4639</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>GENERAL SERVICES</th>\n",
+       "      <td>765</td>\n",
+       "      <td>215</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>HEALTH</th>\n",
+       "      <td>3</td>\n",
+       "      <td>485</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>HUMAN RELATIONS</th>\n",
+       "      <td>0</td>\n",
+       "      <td>16</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>HUMAN RESOURCES</th>\n",
+       "      <td>4</td>\n",
+       "      <td>75</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>INSPECTOR GEN</th>\n",
+       "      <td>0</td>\n",
+       "      <td>87</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>LAW</th>\n",
+       "      <td>40</td>\n",
+       "      <td>367</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>LICENSE APPL COMM</th>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MAYOR'S OFFICE</th>\n",
+       "      <td>8</td>\n",
+       "      <td>77</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>OEMC</th>\n",
+       "      <td>1273</td>\n",
+       "      <td>829</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>POLICE</th>\n",
+       "      <td>10</td>\n",
+       "      <td>13404</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>POLICE BOARD</th>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PROCUREMENT</th>\n",
+       "      <td>2</td>\n",
+       "      <td>90</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PUBLIC LIBRARY</th>\n",
+       "      <td>299</td>\n",
+       "      <td>716</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>STREETS &amp; SAN</th>\n",
+       "      <td>1862</td>\n",
+       "      <td>336</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>TRANSPORTN</th>\n",
+       "      <td>725</td>\n",
+       "      <td>415</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>TREASURER</th>\n",
+       "      <td>0</td>\n",
+       "      <td>22</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>WATER MGMNT</th>\n",
+       "      <td>1513</td>\n",
+       "      <td>366</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "Salary or Hourly       Hourly  Salary\n",
+       "Department                           \n",
+       "ADMIN HEARNG                0      39\n",
+       "ANIMAL CONTRL              19      62\n",
+       "AVIATION                 1082     547\n",
+       "BOARD OF ELECTION           0     107\n",
+       "BOARD OF ETHICS             0       8\n",
+       "BUDGET & MGMT               2      44\n",
+       "BUILDINGS                   0     269\n",
+       "BUSINESS AFFAIRS            7     164\n",
+       "CITY CLERK                  0      84\n",
+       "CITY COUNCIL               64     347\n",
+       "COMMUNITY DEVELOPMENT       4     203\n",
+       "COPA                        0     116\n",
+       "CULTURAL AFFAIRS            7      58\n",
+       "DISABILITIES                0      28\n",
+       "DoIT                        0      99\n",
+       "FAMILY & SUPPORT          287     328\n",
+       "FINANCE                    44     516\n",
+       "FIRE                        2    4639\n",
+       "GENERAL SERVICES          765     215\n",
+       "HEALTH                      3     485\n",
+       "HUMAN RELATIONS             0      16\n",
+       "HUMAN RESOURCES             4      75\n",
+       "INSPECTOR GEN               0      87\n",
+       "LAW                        40     367\n",
+       "LICENSE APPL COMM           0       1\n",
+       "MAYOR'S OFFICE              8      77\n",
+       "OEMC                     1273     829\n",
+       "POLICE                     10   13404\n",
+       "POLICE BOARD                0       2\n",
+       "PROCUREMENT                 2      90\n",
+       "PUBLIC LIBRARY            299     716\n",
+       "STREETS & SAN            1862     336\n",
+       "TRANSPORTN                725     415\n",
+       "TREASURER                   0      22\n",
+       "WATER MGMNT              1513     366"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here:\n",
-    "\n"
+    "df = pd.crosstab(salaries[\"Department\"],salaries[\"Salary or Hourly\"])\n",
+    "df"
    ]
   },
   {
@@ -177,12 +697,54 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 30,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "P-value: 1.6689265282353859e-21\n",
+      "Reject Null Hypothesis\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Jacob\\AppData\\Local\\Temp\\ipykernel_10136\\2920897562.py:10: 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",
+      "  sample.dropna(inplace=True)\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here:\n",
-    "\n"
+    "# Hypothesis\n",
+    "# H0: mu > 86.00\n",
+    "# H1: mu < 86.00\n",
+    "\n",
+    "# Significance Level\n",
+    "alpha = 0.05\n",
+    "\n",
+    "#3 Sample\n",
+    "sample = salaries[salaries[\"Department\"]==\"STREETS & SAN\"][\"Hourly Rate\"]\n",
+    "sample.dropna(inplace=True)\n",
+    "\n",
+    "#4 Compute Statistics\n",
+    "\n",
+    "mean_sample = sample.mean()\n",
+    "std_sample = sample.std(ddof=1)\n",
+    "n = len(sample)\n",
+    "\n",
+    "#5 Get p-value\n",
+    "p_value = st.ttest_1samp(sample, 35, alternative=\"less\")[1]\n",
+    "print(\"P-value:\", p_value)\n",
+    "if p_value < alpha:\n",
+    "    print(\"Reject Null Hypothesis\")\n",
+    "else:\n",
+    "    print(\"Fail to Reject Null Hypothesis\")"
    ]
   },
   {
@@ -206,12 +768,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 35,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(32.52345834488425, 33.05365708767623)"
+      ]
+     },
+     "execution_count": 35,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here:\n",
-    "\n"
+    "sample = salaries[\"Hourly Rate\"]\n",
+    "sample.dropna(inplace=True)\n",
+    "mean_sample = sample.mean()\n",
+    "std_sample = sample.std(ddof=1)\n",
+    "n = len(sample)\n",
+    "\n",
+    "st.t.interval(0.95,n-1, loc=mean_sample, scale = std_sample/np.sqrt(n))"
    ]
   },
   {
@@ -223,12 +801,40 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 36,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Jacob\\AppData\\Local\\Temp\\ipykernel_10136\\604985524.py:2: 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",
+      "  sample.dropna(inplace=True)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "(86177.05631531785, 86795.77269094893)"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here:\n",
-    "\n"
+    "sample = salaries[salaries[\"Department\"]==\"POLICE\"][\"Annual Salary\"]\n",
+    "sample.dropna(inplace=True)\n",
+    "\n",
+    "mean_sample = sample.mean()\n",
+    "std_sample = sample.std(ddof=1)\n",
+    "n = len(sample)\n",
+    "\n",
+    "st.t.interval(0.95,n-1, loc=mean_sample, scale = std_sample/np.sqrt(n))"
    ]
   },
   {
@@ -257,7 +863,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -271,7 +877,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.3"
+   "version": "3.11.3"
   }
  },
  "nbformat": 4,