[ab-intro-prob]mariana

your-code/main.ipynb

@@ -24,10 +24,29 @@
    "outputs": [],
    "source": [
     "\"\"\"\n",
-    "your solution here\n",
+    "1,3,4\n",
     "\"\"\""
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "P(A) = 0.3\n",
+    "P(B) = 0.6\n",
+    "P(A int B) = 0.1\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -49,7 +68,21 @@
    "outputs": [],
    "source": [
     "\"\"\"\n",
-    "your solution here\n",
+    "- white = 10/30 = 1/3\n",
+    "\n",
+    "- white after black\n",
+    "P(B|A) = P(A int B)/P(A) = 0,333\n",
+    "\n",
+    "P(W) = 10/29\n",
+    "\n",
+    "\n",
+    "- red ball after black and red ball\n",
+    "P(R)= 11/28\n",
+    "\n",
+    "\n",
+    "- red after black and red\n",
+    "P(R) = 12/30\n",
+    "\n",
     "\"\"\""
    ]
   },
@@ -75,7 +108,9 @@
    "outputs": [],
    "source": [
     "\"\"\"\n",
-    "your solution here\n",
+    "\n",
+    "P(R|C) = (P(C|R)*P(R))/P(C)= 0.5*0.1/0.4 = 0.125\n",
+    "\n",
     "\"\"\""
    ]
   },
@@ -102,11 +137,91 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "67.5 67.5\n"
+     ]
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "woman_yes = (351/520)*100\n",
+    "man_yes = (324/480)*100\n",
+    "\n",
+    "print(woman_yes, man_yes)\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "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>man</th>\n",
+       "      <th>woman</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>480</td>\n",
+       "      <td>520</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>324</td>\n",
+       "      <td>351</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>156</td>\n",
+       "      <td>169</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   man  woman\n",
+       "0  480    520\n",
+       "1  324    351\n",
+       "2  156    169"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# your code here"
+    "pd.DataFrame({\"man\" : [480, 324, 156], \"woman\" : [520, 351, 169]})"
    ]
   },
   {
@@ -116,14 +231,15 @@
    "outputs": [],
    "source": [
     "\"\"\"\n",
-    "your solution here\n",
+    "man and woman have the same opinion about lighting. \n",
+    "it seems that the gender is irrelevant\n",
     "\"\"\""
    ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -137,7 +253,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.2"
+   "version": "3.10.9"
   }
  },
  "nbformat": 4,