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[lab-goodfit-indeptests] Alvaro Gracio #153

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76 changes: 66 additions & 10 deletions your_code/main.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -14,11 +14,38 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 6,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"chi-square statistic: 9.221114758837274\n",
"p-value: nan\n"
]
}
],
"source": [
"# your answer here"
"# your answer here\n",
"import pandas as pd\n",
"import numpy as np \n",
"import math\n",
"\n",
"\n",
"observed = np.array([35, 99, 104, 110, 62, 25, 10, 3])\n",
"total_observed = np.sum(observed)\n",
"expected = np.zeros_like(observed)\n",
"\n",
"for i in range(len(observed) - 1):\n",
" expected[i] = total_observed * np.exp(-2.435) * (2.435 ** i) / np.math.factorial(i)\n",
"\n",
"expected[-1] = total_observed - np.sum(expected[:-1])\n",
"\n",
"chi2_statistic, p_value = chisquare(observed, f_exp=expected, ddof=len(observed) - 1)\n",
"\n",
"print(\"chi-square statistic:\", chi2_statistic)\n",
"print(\"p-value:\", p_value)"
]
},
{
Expand Down Expand Up @@ -60,11 +87,38 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 8,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Reject the null hypothesis\n",
"p-value: 2.836275601197004e-31\n"
]
}
],
"source": [
"# your answer here"
"# your answer here\n",
"\n",
"from scipy.stats import binom_test\n",
"\n",
"observed_defective = 10 \n",
"total_days = 200\n",
"n = 10 \n",
"p = 0.05 \n",
"\n",
"p_value = binom_test(observed_defective, n=total_days * n, p=p)\n",
"\n",
"alpha = 0.05 \n",
"\n",
"if p_value < alpha:\n",
" print(\"Reject the null hypothesis\")\n",
"else:\n",
" print(\"Fail to reject the null hypothesis.\")\n",
"\n",
"print(\"p-value:\", p_value)"
]
},
{
Expand All @@ -79,17 +133,19 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"#your answer here"
"#your answer here\n",
"from scipy.stats import chi2_contingency\n",
"\n"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
Expand All @@ -103,7 +159,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.3"
"version": "3.9.13"
}
},
"nbformat": 4,
Expand Down