[lab-intro-prob] Alexandre Garanhao

your-code/main.ipynb

@@ -1,6 +1,7 @@
 {
  "cells": [
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -24,11 +25,12 @@
    "outputs": [],
    "source": [
     "\"\"\"\n",
-    "your solution here\n",
+    "The statements that are the first, third, and forth\n",
     "\"\"\""
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -49,11 +51,18 @@
    "outputs": [],
    "source": [
     "\"\"\"\n",
-    "your solution here\n",
+    "10/30\n",
+    "\n",
+    "10/29\n",
+    "\n",
+    "11/28\n",
+    "\n",
+    "12/30\n",
     "\"\"\""
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -75,11 +84,12 @@
    "outputs": [],
    "source": [
     "\"\"\"\n",
-    "your solution here\n",
+    "10 %\n",
     "\"\"\""
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -102,11 +112,68 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "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>Men</th>\n",
+       "      <th>Women</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>yes</th>\n",
+       "      <td>324</td>\n",
+       "      <td>351</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>no</th>\n",
+       "      <td>156</td>\n",
+       "      <td>169</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     Men  Women\n",
+       "yes  324    351\n",
+       "no   156    169"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# your code here"
+    "# your code here\n",
+    "import pandas as pd\n",
+    "data = {\"Men\":{\"yes\":324,\"no\":156}, \"Women\":{\"yes\":351,\"no\":169}}\n",
+    "\n",
+    "data = pd.DataFrame(data)\n",
+    "\n",
+    "data"
    ]
   },
   {
@@ -116,7 +183,7 @@
    "outputs": [],
    "source": [
     "\"\"\"\n",
-    "your solution here\n",
+    "Yes the events are independent because the results dont vary that much from being a man or a woman responding\n",
     "\"\"\""
    ]
   }
@@ -137,7 +204,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.2"
+   "version": "3.11.2"
   }
  },
  "nbformat": 4,