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Table of Chi-2 values given confidence and degree of freedom
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{ | |
"nbformat": 4, | |
"nbformat_minor": 0, | |
"metadata": { | |
"colab": { | |
"name": "Untitled0.ipynb", | |
"provenance": [], | |
"collapsed_sections": [], | |
"authorship_tag": "ABX9TyPqe9+JlcOsgoTTxW34AsUn", | |
"include_colab_link": true | |
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"kernelspec": { | |
"name": "python3", | |
"display_name": "Python 3" | |
}, | |
"language_info": { | |
"name": "python" | |
} | |
}, | |
"cells": [ | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"id": "view-in-github", | |
"colab_type": "text" | |
}, | |
"source": [ | |
"<a href=\"https://colab.research.google.com/gist/mehdirezaie/3228a8550aa8297b0693196a16170911/untitled0.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"source": [ | |
"# $\\chi^{2}$ Distribution\n", | |
"This notebook provides credible levels for a $\\chi^{2}$ distribution. Adapted from http://www.reid.ai/2012/09/chi-squared-distribution-table-with.html. Note that only for dof=1, 1sigma corresponds to 68.3.\n" | |
], | |
"metadata": { | |
"id": "B5rkEFA89nl9" | |
} | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 1, | |
"metadata": { | |
"id": "z-zh501D9i7E" | |
}, | |
"outputs": [], | |
"source": [ | |
"import numpy as np\n", | |
"from scipy.stats import chi2" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"source": [ | |
"sigmas = [1.0, 2.0, 3.0, 4.0] # standard deviations\n", | |
"confs = [chi2.cdf(s*s, 1) for s in sigmas] # confidence intervals for k=1\n", | |
"\n", | |
"\n", | |
"print('Confidence \\t'+'\\t'.join([\"{:8.2f}%\".format(c*100) for c in confs]))\n", | |
"print('p-value \\t'+'\\t'.join([\"{:8.5f}\".format(1.-c) for c in confs]))\n", | |
"print('sigma(k=1) \\t'+'\\t'.join([\"{:8.2f}\".format(s) for s in sigmas]))\n", | |
"\n", | |
"dof = np.arange(1, 11)\n", | |
"\n", | |
"print(73*'-')\n", | |
"for d in dof:\n", | |
" chi2s = [chi2.ppf(c, d) for c in confs]\n", | |
" print('chi2(d=%d) \\t'%d+'\\t'.join(['%8.2f'%ch for ch in chi2s]))\n" | |
], | |
"metadata": { | |
"colab": { | |
"base_uri": "https://localhost:8080/" | |
}, | |
"id": "N4zfo3jf_E8A", | |
"outputId": "a31f23f4-8f72-410e-95e6-be3cb5dae03a" | |
}, | |
"execution_count": 44, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"name": "stdout", | |
"text": [ | |
"Confidence \t 68.27%\t 95.45%\t 99.73%\t 99.99%\n", | |
"p-value \t 0.31731\t 0.04550\t 0.00270\t 0.00006\n", | |
"sigma(k=1) \t 1.00\t 2.00\t 3.00\t 4.00\n", | |
"-------------------------------------------------------------------------\n", | |
"chi2(d=1) \t 1.00\t 4.00\t 9.00\t 16.00\n", | |
"chi2(d=2) \t 2.30\t 6.18\t 11.83\t 19.33\n", | |
"chi2(d=3) \t 3.53\t 8.02\t 14.16\t 22.06\n", | |
"chi2(d=4) \t 4.72\t 9.72\t 16.25\t 24.50\n", | |
"chi2(d=5) \t 5.89\t 11.31\t 18.21\t 26.77\n", | |
"chi2(d=6) \t 7.04\t 12.85\t 20.06\t 28.91\n", | |
"chi2(d=7) \t 8.18\t 14.34\t 21.85\t 30.96\n", | |
"chi2(d=8) \t 9.30\t 15.79\t 23.57\t 32.93\n", | |
"chi2(d=9) \t 10.42\t 17.21\t 25.26\t 34.85\n", | |
"chi2(d=10) \t 11.54\t 18.61\t 26.90\t 36.72\n" | |
] | |
} | |
] | |
} | |
] | |
} |
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