diff --git a/your-code/main.ipynb b/your-code/main.ipynb
index cdc1acb..e9406a5 100644
--- a/your-code/main.ipynb
+++ b/your-code/main.ipynb
@@ -14,12 +14,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 37,
    "metadata": {},
    "outputs": [],
    "source": [
     "# import numpy and pandas\n",
-    "\n"
+    "# Libraries\n",
+    "import pandas as pd # manipulate dataframes\n",
+    "import numpy as np # numerical python\n",
+    "import matplotlib.pyplot as plt # viz\n",
+    "import scipy.stats as sts\n",
+    "from scipy.stats import chi2_contingency"
    ]
   },
   {
@@ -35,13 +40,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
     "# Run this code:\n",
-    "\n",
-    "pokemon = pd.read_csv('../pokemon.csv')"
+    "data = pd.read_csv('../pokemon.csv')\n",
+    "pokemon = data.copy()"
    ]
   },
   {
@@ -53,12 +58,154 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 4,
+   "metadata": {},
+   "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>#</th>\n",
+       "      <th>Name</th>\n",
+       "      <th>Type 1</th>\n",
+       "      <th>Type 2</th>\n",
+       "      <th>Total</th>\n",
+       "      <th>HP</th>\n",
+       "      <th>Attack</th>\n",
+       "      <th>Defense</th>\n",
+       "      <th>Sp. Atk</th>\n",
+       "      <th>Sp. Def</th>\n",
+       "      <th>Speed</th>\n",
+       "      <th>Generation</th>\n",
+       "      <th>Legendary</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>Bulbasaur</td>\n",
+       "      <td>Grass</td>\n",
+       "      <td>Poison</td>\n",
+       "      <td>318</td>\n",
+       "      <td>45</td>\n",
+       "      <td>49</td>\n",
+       "      <td>49</td>\n",
+       "      <td>65</td>\n",
+       "      <td>65</td>\n",
+       "      <td>45</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>Ivysaur</td>\n",
+       "      <td>Grass</td>\n",
+       "      <td>Poison</td>\n",
+       "      <td>405</td>\n",
+       "      <td>60</td>\n",
+       "      <td>62</td>\n",
+       "      <td>63</td>\n",
+       "      <td>80</td>\n",
+       "      <td>80</td>\n",
+       "      <td>60</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>Venusaur</td>\n",
+       "      <td>Grass</td>\n",
+       "      <td>Poison</td>\n",
+       "      <td>525</td>\n",
+       "      <td>80</td>\n",
+       "      <td>82</td>\n",
+       "      <td>83</td>\n",
+       "      <td>100</td>\n",
+       "      <td>100</td>\n",
+       "      <td>80</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3</td>\n",
+       "      <td>VenusaurMega Venusaur</td>\n",
+       "      <td>Grass</td>\n",
+       "      <td>Poison</td>\n",
+       "      <td>625</td>\n",
+       "      <td>80</td>\n",
+       "      <td>100</td>\n",
+       "      <td>123</td>\n",
+       "      <td>122</td>\n",
+       "      <td>120</td>\n",
+       "      <td>80</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>4</td>\n",
+       "      <td>Charmander</td>\n",
+       "      <td>Fire</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>309</td>\n",
+       "      <td>39</td>\n",
+       "      <td>52</td>\n",
+       "      <td>43</td>\n",
+       "      <td>60</td>\n",
+       "      <td>50</td>\n",
+       "      <td>65</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   #                   Name Type 1  Type 2  Total  HP  Attack  Defense  \\\n",
+       "0  1              Bulbasaur  Grass  Poison    318  45      49       49   \n",
+       "1  2                Ivysaur  Grass  Poison    405  60      62       63   \n",
+       "2  3               Venusaur  Grass  Poison    525  80      82       83   \n",
+       "3  3  VenusaurMega Venusaur  Grass  Poison    625  80     100      123   \n",
+       "4  4             Charmander   Fire     NaN    309  39      52       43   \n",
+       "\n",
+       "   Sp. Atk  Sp. Def  Speed  Generation  Legendary  \n",
+       "0       65       65     45           1      False  \n",
+       "1       80       80     60           1      False  \n",
+       "2      100      100     80           1      False  \n",
+       "3      122      120     80           1      False  \n",
+       "4       60       50     65           1      False  "
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# Your code here:\n",
-    "\n"
+    "pokemon.head()"
    ]
   },
   {
@@ -70,12 +217,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Legendary\n",
+       "False    735\n",
+       "True      65\n",
+       "Name: count, dtype: int64"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# Your code here:\n",
-    "\n"
+    "pokemon[\"Legendary\"].value_counts()\n"
    ]
   },
   {
@@ -87,12 +248,70 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 10,
+   "metadata": {},
+   "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>mean</th>\n",
+       "      <th>std</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Legendary</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>False</th>\n",
+       "      <td>417.21</td>\n",
+       "      <td>106.76</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>True</th>\n",
+       "      <td>637.38</td>\n",
+       "      <td>60.94</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             mean     std\n",
+       "Legendary                \n",
+       "False      417.21  106.76\n",
+       "True       637.38   60.94"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# Your code here:\n",
-    "\n"
+    "points_legend_df = pokemon.groupby('Legendary')['Total'].agg(['mean', 'std']).round(2)\n",
+    "points_legend_df\n"
    ]
   },
   {
@@ -104,14 +323,65 @@
     "In the cell below, use the `ttest_ind` function in `scipy.stats` to compare the the total points for legendary and non-legendary Pokemon. Since we do not have any information about the population, assume the variances are not equal."
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "#               0\n",
+       "Name            0\n",
+       "Type 1          0\n",
+       "Type 2        386\n",
+       "Total           0\n",
+       "HP              0\n",
+       "Attack          0\n",
+       "Defense         0\n",
+       "Sp. Atk         0\n",
+       "Sp. Def         0\n",
+       "Speed           0\n",
+       "Generation      0\n",
+       "Legendary       0\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pokemon.isnull().sum()"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Test Statistic (t): 25.83\n",
+      "P-Value: 0.00000000000000000000000000000000000000000000009358\n",
+      "\n"
+     ]
+    }
+   ],
    "source": [
     "# Your code here:\n",
-    "\n"
+    "# Extract total points for Legendary and non legendary Pokemon\n",
+    "legendary = pokemon[pokemon[\"Legendary\"] == True][\"Total\"]\n",
+    "non_legendary = pokemon[pokemon[\"Legendary\"] == False][\"Total\"]\n",
+    "\n",
+    "# Perform two-sample t-test for independent samples\n",
+    "t_stat, p_value = sts.ttest_ind(legendary, non_legendary, equal_var=False) # equal_var False as we do not have any information about the population\n",
+    "print(f\"Test Statistic (t): {t_stat:.2f}\")\n",
+    "print(f\"P-Value: {p_value:.50f}\")\n",
+    "print()"
    ]
   },
   {
@@ -123,12 +393,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Reject the Null Hypothesis: There is sufficient evidence to conclude that the mean total points for legendary and non-legendary Pokemon are significantly different.\n"
+     ]
+    }
+   ],
    "source": [
     "# Your conclusions here:\n",
-    "\n"
+    "#  We set out significance level\n",
+    "alpha = 0.05\n",
+    "\n",
+    "# Decision-Making\n",
+    "if p_value > alpha:\n",
+    "    print(\"Fail to Reject the Null Hypothesis: The mean total points for legendary and non-legendary Pokemon are not significantly different.\")\n",
+    "else:\n",
+    "    print(\"Reject the Null Hypothesis: There is sufficient evidence to conclude that the mean total points for legendary and non-legendary Pokemon are significantly different.\")"
    ]
   },
   {
@@ -140,12 +425,42 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Type 1\n",
+       "Water       112\n",
+       "Normal       98\n",
+       "Grass        70\n",
+       "Bug          69\n",
+       "Psychic      57\n",
+       "Fire         52\n",
+       "Rock         44\n",
+       "Electric     44\n",
+       "Ground       32\n",
+       "Ghost        32\n",
+       "Dragon       32\n",
+       "Dark         31\n",
+       "Poison       28\n",
+       "Fighting     27\n",
+       "Steel        27\n",
+       "Ice          24\n",
+       "Fairy        17\n",
+       "Flying        4\n",
+       "Name: count, dtype: int64"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# Your code here:\n",
-    "\n"
+    "pokemon[\"Type 1\"].value_counts()"
    ]
   },
   {
@@ -157,12 +472,74 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 20,
+   "metadata": {},
+   "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>mean</th>\n",
+       "      <th>std</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Type1_water</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>False</th>\n",
+       "      <td>435.86</td>\n",
+       "      <td>121.09</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>True</th>\n",
+       "      <td>430.46</td>\n",
+       "      <td>113.19</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               mean     std\n",
+       "Type1_water                \n",
+       "False        435.86  121.09\n",
+       "True         430.46  113.19"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# Your code here:\n",
-    "\n"
+    "# Create a new column with True values when it is a Type 1 water Pokemon, else false\n",
+    "pokemon['Type1_water'] = pokemon['Type 1'] == 'Water'\n",
+    "\n",
+    "# Compare the mean and std of total points for water Pokemon to all other Pokemon\n",
+    "points_water_df = pokemon.groupby('Type1_water')['Total'].agg(['mean', 'std']).round(2)\n",
+    "points_water_df"
    ]
   },
   {
@@ -176,10 +553,27 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Test Statistic (t): -0.46\n",
+      "P-Value: 0.64\n",
+      "\n"
+     ]
+    }
+   ],
    "source": [
     "# Your code here:\n",
-    "\n"
+    "# Extract total points for Legendary and non legendary Pokemon\n",
+    "water = pokemon[pokemon[\"Type1_water\"] == True][\"Total\"]\n",
+    "non_water = pokemon[pokemon[\"Type1_water\"] == False][\"Total\"]\n",
+    "\n",
+    "# Perform two-sample t-test for independent samples\n",
+    "t_stat, p_value = sts.ttest_ind(water, non_water, equal_var=False) # equal_var False as we do not have any information about the population\n",
+    "print(f\"Test Statistic (t): {t_stat:.2f}\")\n",
+    "print(f\"P-Value: {p_value:.2f}\")"
    ]
   },
   {
@@ -191,12 +585,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fail to Reject the Null Hypothesis: The mean total points for water and non-water type Pokemon are not significantly different.\n"
+     ]
+    }
+   ],
    "source": [
     "# Your conclusions here:\n",
-    "\n"
+    "#  We set out significance level\n",
+    "alpha = 0.05\n",
+    "\n",
+    "# Decision-Making\n",
+    "if p_value > alpha:\n",
+    "    print(\"Fail to Reject the Null Hypothesis: The mean total points for water and non-water type Pokemon are not significantly different.\")\n",
+    "else:\n",
+    "    print(\"Reject the Null Hypothesis: There is sufficient evidence to conclude that the mean total points for water and non-water type Pokemon are significantly different.\")"
    ]
   },
   {
@@ -210,12 +619,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Test Statistic (t): 4.33\n",
+      "P-Value: 0.000017\n"
+     ]
+    }
+   ],
    "source": [
     "# Your code here:\n",
-    "\n"
+    "# Perform paired t-test\n",
+    "t_stat, p_value = sts.ttest_rel(pokemon[\"Attack\"], pokemon[\"Defense\"])\n",
+    "print(f\"Test Statistic (t): {t_stat:.2f}\")\n",
+    "print(f\"P-Value: {p_value:.6f}\")"
    ]
   },
   {
@@ -227,12 +648,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Reject the Null Hypothesis: There is a significant difference between each Pokemon's defense and attack scores.\n"
+     ]
+    }
+   ],
    "source": [
     "# Your conclusions here:\n",
-    "\n"
+    "# Significance level\n",
+    "alpha = 0.05\n",
+    "\n",
+    "# Decision-Making\n",
+    "if p_value > alpha:\n",
+    "    print(\"Fail to Reject the Null Hypothesis: No significant difference between each Pokemon's defense and attack scores.\")\n",
+    "else:\n",
+    "    print(\"Reject the Null Hypothesis: There is a significant difference between each Pokemon's defense and attack scores.\")"
    ]
   },
   {
@@ -244,12 +680,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Test Statistic (t): 0.85\n",
+      "P-Value: 0.393369\n"
+     ]
+    }
+   ],
    "source": [
     "# Your code here:\n",
-    "\n"
+    "# Perform paired t-test\n",
+    "t_stat, p_value = sts.ttest_rel(pokemon[\"Sp. Atk\"], pokemon[\"Sp. Def\"])\n",
+    "print(f\"Test Statistic (t): {t_stat:.2f}\")\n",
+    "print(f\"P-Value: {p_value:.6f}\")"
    ]
   },
   {
@@ -266,7 +714,14 @@
    "outputs": [],
    "source": [
     "# Your conclusions here:\n",
-    "\n"
+    "# Significance level\n",
+    "alpha = 0.05\n",
+    "\n",
+    "# Decision-Making\n",
+    "if p_value > alpha:\n",
+    "    print(\"Fail to Reject the Null Hypothesis: No significant difference between each Pokemon's special defense and special attack scores.\")\n",
+    "else:\n",
+    "    print(\"Reject the Null Hypothesis: There is a significant difference between each Pokemon's special defense and special attack scores.\")"
    ]
   },
   {
@@ -282,11 +737,21 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Test Statistic (t): -4.33\n",
+      "P-Value: 0.000017\n"
+     ]
+    }
+   ],
    "source": [
     "# Your code here:\n",
-    "    \n",
-    "    "
+    "t_stat, p_value = sts.ttest_1samp(pokemon[\"Defense\"]-pokemon[\"Attack\"], popmean=0) # we want to test whether the mean of the differences is zero\n",
+    "print(f\"Test Statistic (t): {t_stat:.2f}\")\n",
+    "print(f\"P-Value: {p_value:.6f}\") # We can confirm that the mean of the difference is 0"
    ]
   },
   {
@@ -302,12 +767,70 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 39,
+   "metadata": {},
+   "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>Type1_water</th>\n",
+       "      <th>False</th>\n",
+       "      <th>True</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Legendary</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>False</th>\n",
+       "      <td>627</td>\n",
+       "      <td>108</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>True</th>\n",
+       "      <td>61</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "Type1_water  False  True \n",
+       "Legendary                \n",
+       "False          627    108\n",
+       "True            61      4"
+      ]
+     },
+     "execution_count": 39,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# Your code here:\n",
-    "\n"
+    "legend_type_crosstab = pd.crosstab(pokemon['Legendary'], pokemon['Type1_water'])\n",
+    "legend_type_crosstab"
    ]
   },
   {
@@ -319,12 +842,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.08625467249550949"
+      ]
+     },
+     "execution_count": 40,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# Your code here:\n",
-    "\n"
+    "chi2_stats, chi2_pvalue, _, _ = chi2_contingency(legend_type_crosstab)\n",
+    "chi2_pvalue"
    ]
   },
   {
@@ -336,25 +871,33 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fail to Reject the Null Hypothesis: No significant difference between a Pokemon being legenadary or not and a Pokemon being Type 1 water or not.\n"
+     ]
+    }
+   ],
    "source": [
     "# Your answer here:\n",
-    "\n"
+    "# Significance level\n",
+    "alpha = 0.05\n",
+    "\n",
+    "# Decision-Making\n",
+    "if chi2_pvalue > alpha:\n",
+    "    print(\"Fail to Reject the Null Hypothesis: No significant difference between a Pokemon being legenadary or not and a Pokemon being Type 1 water or not.\")\n",
+    "else:\n",
+    "    print(\"Reject the Null Hypothesis: There is a significant difference between a Pokemon being legenadary or not and a Pokemon being Type 1 water or not.\")"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "base",
    "language": "python",
    "name": "python3"
   },
@@ -368,7 +911,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.9"
+   "version": "3.12.7"
   }
  },
  "nbformat": 4,