diff --git a/your-code/main.ipynb b/your-code/main.ipynb
index b8b7a9c..4050046 100644
--- a/your-code/main.ipynb
+++ b/your-code/main.ipynb
@@ -10,11 +10,24 @@
     "A and B are events of a probability space with $(\\omega, \\sigma, P)$ such that $P(A) = 0.3$, $P(B) = 0.6$ and $P(A \\cap B) = 0.1$\n",
     "\n",
     "Which of the following statements are false?\n",
-    "* $P(A \\cup B) = 0.6$\n",
-    "* $P(A \\cap B^{C}) = 0.2$\n",
-    "* $P(A \\cap (B \\cup B^{C})) = 0.4$\n",
-    "* $P(A^{C} \\cap B^{C}) = 0.3$\n",
-    "* $P((A \\cap B)^{C}) = 0.9$"
+    "* 1. $P(A \\cup B) = 0.6$\n",
+    "* 2. $P(A \\cap B^{C}) = 0.2$\n",
+    "* 3. $P(A \\cap (B \\cup B^{C})) = 0.4$\n",
+    "* 4. $P(A^{C} \\cap B^{C}) = 0.3$\n",
+    "* 5. $P((A \\cap B)^{C}) = 0.9$"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# P(A) = 0.3\n",
+    "# P(B) = 0.6\n",
+    "\n",
+    "# P(A and B) = 0.1\n",
+    "\n"
    ]
   },
   {
@@ -24,7 +37,11 @@
    "outputs": [],
    "source": [
     "\"\"\"\n",
-    "your solution here\n",
+    "1. Wrong (0.8)\n",
+    "2. correct\n",
+    "3. Wrong (0.3)\n",
+    "4. Wrong (0.2)\n",
+    "5. Correct\n",
     "\"\"\""
    ]
   },
@@ -32,7 +49,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Challenge 2\n",
+    "# Challenge 2\n",
     "There is a box with 10 white balls, 12 red balls and 8 black balls. Calculate the probability of:\n",
     "* Taking a white ball out.\n",
     "* Taking a white ball out after taking a black ball out.\n",
@@ -49,7 +66,17 @@
    "outputs": [],
    "source": [
     "\"\"\"\n",
-    "your solution here\n",
+    "w = 10\n",
+    "r = 12\n",
+    "b = 8\n",
+    "\n",
+    "total = 30\n",
+    "\n",
+    "Task:\n",
+    "1. 8/30\n",
+    "2. 8/29\n",
+    "3. 11/28\n",
+    "4. 12/30\n",
     "\"\"\""
    ]
   },
@@ -75,7 +102,16 @@
    "outputs": [],
    "source": [
     "\"\"\"\n",
-    "your solution here\n",
+    "P(C|R) = 0.5\n",
+    "P(C) = 0.4\n",
+    "P(R) = 0.3\n",
+    "\n",
+    "\n",
+    "\n",
+    "P(R|C) = P(C and R) / P(C)\n",
+    "P(R|C) = 0.4*0.3 / 0.4\n",
+    "P(R|C) = 0.12 / 0.4\n",
+    "P(R|C) = 0.3\n",
     "\"\"\""
    ]
   },
@@ -102,11 +138,94 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "total = 1000\n",
+    "\n",
+    "m = 480\n",
+    "nm = 520\n",
+    "\n",
+    "m_y = 324\n",
+    "nm_y = 351\n",
+    "\n",
+    "m_n = 156\n",
+    "nm_y = 169\n",
+    "\n",
+    "y = m_y + nm_y\n",
+    "n = m_n + nm_y"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# your code here"
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "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>Yes</th>\n",
+       "      <th>No</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>men</th>\n",
+       "      <td>0.675</td>\n",
+       "      <td>0.325</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>women</th>\n",
+       "      <td>0.675</td>\n",
+       "      <td>0.325</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         Yes     No\n",
+       "men    0.675  0.325\n",
+       "women  0.675  0.325"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mydict = {\"Yes\": [324/480, 351/520], \"No\" : [156/480, 169/520] }\n",
+    "mylist = [\"men\", \"women\"]\n",
+    "pd.DataFrame(mydict, index = mylist)\n"
    ]
   },
   {
@@ -116,14 +235,14 @@
    "outputs": [],
    "source": [
     "\"\"\"\n",
-    "your solution here\n",
+    "the output is not affected by the gender that means that they are not dependent\n",
     "\"\"\""
    ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -137,7 +256,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.2"
+   "version": "3.11.4"
   }
  },
  "nbformat": 4,