{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [], "source": [ "import numpy as np\n", "import pandas as pd\n", "import scipy.stats" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": true, "deletable": true, "editable": true }, "outputs": [], "source": [ "p = 0.75\n", "num = 30\n", "lim = int(num * 0.9) - 1\n", "q = 1.0 - scipy.stats.binom.cdf(lim, num, p)" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "3.74493257238\n" ] } ], "source": [ "print(q * 100)" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [], "source": [ "r = q\n", "num = 12\n", "s1 = 1.0 - scipy.stats.binom.cdf(0, num, r)\n", "s2 = 1.0 - scipy.stats.binom.cdf(1, num, r)\n", "s3 = 1.0 - scipy.stats.binom.cdf(2, num, r)" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "36.7466937671\n", "7.21523658944\n", "0.895951239848\n" ] } ], "source": [ "print(s1 * 100)\n", "print(s2 * 100)\n", "print(s3 * 100)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": true, "deletable": true, "editable": true }, "outputs": [], "source": [ "p = 0.75\n", "num = 30\n", "lim = int(num * 0.85)\n", "q = 1.0 - scipy.stats.binom.cdf(lim, num, p)" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "9.78695995647\n" ] } ], "source": [ "print(q * 100)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": true, "deletable": true, "editable": true }, "outputs": [], "source": [ "r = q\n", "num = 12\n", "lim = 3\n", "s = 1.0 - scipy.stats.binom.cdf(lim, num, r)" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "2.3862319599\n" ] } ], "source": [ "print(s * 100)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true, "deletable": true, "editable": true }, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.0" } }, "nbformat": 4, "nbformat_minor": 1 }