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[lab-intro-prob] Carolina Silva #196

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123 changes: 111 additions & 12 deletions your-code/main.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -24,7 +24,19 @@
"outputs": [],
"source": [
"\"\"\"\n",
"your solution here\n",
"The first statement is False:\n",
"P(A U B) = P(A) + P(B) - P(A and B)\n",
"P(A U B) = 0.30 + 0.60 - 0.10\n",
"P(A U B) = 0.80\n",
"\n",
"The second statement is True.\n",
"\n",
"The third statement is False.\n",
"\n",
"The fourth statement is False\n",
"\n",
"The fifth statement is True.\n",
"\n",
"\"\"\""
]
},
Expand All @@ -49,7 +61,13 @@
"outputs": [],
"source": [
"\"\"\"\n",
"your solution here\n",
"Taking a white ball out: 10/30 = 1/3\n",
"\n",
"Taking a white ball out after taking a black ball out: 10/29\n",
"\n",
"Taking a red ball out after taking a black and a red ball out: 11/28\n",
"\n",
"Taking a red ball out after taking a black and a red ball out with reposition: 12/30\n",
"\"\"\""
]
},
Expand All @@ -75,7 +93,11 @@
"outputs": [],
"source": [
"\"\"\"\n",
"your solution here\n",
"P(A|B) = (P(B|A) * P(A)) / P(B)\n",
" = 0.50 * 0.10 / 0.40\n",
" = 0.125 = 12.5%\n",
"\n",
"12.5%\n",
"\"\"\""
]
},
Expand All @@ -102,28 +124,105 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"# your code here"
"import pandas as pd"
]
},
{
"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": [
"\"\"\"\n",
"your solution here\n",
"\"\"\""
"survey = pd.DataFrame({\n",
" \"men\": {\"yes\": 324, \"no\": 156},\n",
" \"women\": {\"yes\": 351, \"no\": 169}})\n",
"\n",
"survey"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"67.5\n",
"67.5\n"
]
}
],
"source": [
"men_yes = 324/480*100\n",
"women_yes = 351/520*100\n",
"\n",
"print(men_yes)\n",
"print(women_yes)\n",
"\n",
"#The gender is irrelevant to the question."
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
Expand All @@ -137,7 +236,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.2"
"version": "3.10.9"
}
},
"nbformat": 4,
Expand Down