{"id":2925,"date":"2023-07-20T01:25:01","date_gmt":"2023-07-20T01:25:01","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e4%ba%8c%e9%a0%85%e4%bf%a1%e9%a0%bc%e5%8c%ba%e9%96%93python\/"},"modified":"2023-07-20T01:25:01","modified_gmt":"2023-07-20T01:25:01","slug":"%e4%ba%8c%e9%a0%85%e4%bf%a1%e9%a0%bc%e5%8c%ba%e9%96%93python","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/%e4%ba%8c%e9%a0%85%e4%bf%a1%e9%a0%bc%e5%8c%ba%e9%96%93python\/","title":{"rendered":"Python \u3067\u4e8c\u9805\u4fe1\u983c\u533a\u9593\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\u4e8c\u9805\u78ba\u7387\u306e\u4fe1\u983c\u533a\u9593\u306f\u3001<\/strong>\u6b21\u306e\u5f0f\u3092\u4f7f\u7528\u3057\u3066\u8a08\u7b97\u3055\u308c\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u4fe1\u983c\u533a\u9593 = p<\/strong> <strong>+\/- z*(\u221a <span style=\"text-decoration: overline;\">p(1-p) \/ n<\/span> )<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">\u91d1\uff1a<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>p\uff1a<\/strong> \u300c\u6210\u529f\u300d\u306e\u5272\u5408<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>z:<\/strong>\u9078\u629e\u3055\u308c\u305f Z \u5024<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>n:<\/strong>\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">Python \u3067\u3053\u306e\u30bf\u30a4\u30d7\u306e\u4fe1\u983c\u533a\u9593\u3092\u8a08\u7b97\u3059\u308b\u6700\u3082\u7c21\u5358\u306a\u65b9\u6cd5\u306f\u3001 <strong>statsmodels<\/strong>\u30d1\u30c3\u30b1\u30fc\u30b8\u306e<strong>Proportion_confint()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u3067\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span class=\"sig-name descname\"><span class=\"pre\">proportion_confint<\/span><\/span> <span class=\"sig-paren\">(<\/span> <span class=\"n\"><span class=\"pre\">count<\/span><\/span> , <span class=\"n\"><span class=\"pre\">nobs<\/span><\/span> , <span class=\"n\"><span class=\"pre\">alpha<\/span><\/span> <span class=\"o\"><span class=\"pre\">=<\/span><\/span> <span class=\"default_value\" style=\"color: #008000;\"><span class=\"pre\">0.05<\/span><\/span> , <span class=\"n\"><span class=\"pre\">method<\/span><\/span> <span class=\"o\"><span class=\"pre\">=<\/span><\/span> <span class=\"default_value\"><span class=\"pre\">' <span style=\"color: #ff0000;\">normal<\/span> '<\/span><\/span> <span class=\"sig-paren\">)<\/span>\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u91d1\uff1a<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>count<\/strong> : \u6210\u529f\u3057\u305f\u56de\u6570<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>nobs<\/strong> : \u8a66\u884c\u306e\u5408\u8a08\u6570<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>alpha<\/strong> : \u6709\u610f\u6c34\u6e96 (\u30c7\u30d5\u30a9\u30eb\u30c8\u306f 0.05)<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>Method<\/strong> : \u4fe1\u983c\u533a\u9593\u306b\u4f7f\u7528\u3059\u308b\u65b9\u6cd5 (\u30c7\u30d5\u30a9\u30eb\u30c8\u306f\u300cnormal\u300d)<\/span><\/li>\n<\/ul>\n<p style=\"text-align: left;\"><span style=\"color: #000000;\">\u6b21\u306e\u4f8b\u306f\u3001\u3053\u306e\u95a2\u6570\u3092\u5b9f\u969b\u306b\u4f7f\u7528\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<h3><strong><span style=\"color: #000000;\">\u4f8b: Python \u3067\u4e8c\u9805\u4fe1\u983c\u533a\u9593\u3092\u8a08\u7b97\u3059\u308b<\/span><\/strong><\/h3>\n<p><span style=\"color: #000000;\">\u7279\u5b9a\u306e\u6cd5\u5f8b\u3092\u652f\u6301\u3059\u308b\u90e1\u306e\u4f4f\u6c11\u306e\u5272\u5408\u3092\u63a8\u5b9a\u3057\u305f\u3044\u3068\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u79c1\u305f\u3061\u306f 100 \u4eba\u306e\u4f4f\u6c11\u304b\u3089\u7121\u4f5c\u70ba\u306b\u30b5\u30f3\u30d7\u30eb\u3092\u9078\u629e\u3059\u308b\u3053\u3068\u306b\u3057\u3001\u305d\u306e\u3046\u3061 56 \u4eba\u304c\u3053\u306e\u6cd5\u5f8b\u306b\u8cdb\u6210\u3057\u3066\u3044\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3057\u305f\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Proportion_confint()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u90e1\u5168\u4f53\u3067\u3053\u306e\u6cd5\u5f8b\u304c\u9069\u7528\u3055\u308c\u3066\u3044\u308b\u4f4f\u6c11\u306e\u771f\u306e\u5272\u5408\u306e 95% \u4fe1\u983c\u533a\u9593\u3092\u8a08\u7b97\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">from<\/span> statsmodels. <span style=\"color: #3366ff;\">stats<\/span> . <span style=\"color: #3366ff;\">proportion<\/span> <span style=\"color: #008000;\">import<\/span> proportion_confint\n\n<span style=\"color: #008080;\">#calculate 95% confidence interval with 56 successes in 100 trials\n<\/span>proportion_confint(count= <span style=\"color: #008000;\">56<\/span> , nobs= <span style=\"color: #008000;\">100<\/span> )\n\n(0.4627099463758483, 0.6572900536241518)\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u3053\u306e\u6cd5\u5f8b\u3092\u652f\u6301\u3059\u308b\u90e1\u4f4f\u6c11\u306e\u771f\u306e\u5272\u5408\u306e 95% \u4fe1\u983c\u533a\u9593\u306f<strong>[.4627, .6573]<\/strong>\u3067\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u30c7\u30d5\u30a9\u30eb\u30c8\u3067\u306f\u3001\u3053\u306e\u95a2\u6570\u306f\u6f38\u8fd1\u6b63\u898f\u8fd1\u4f3c\u3092\u4f7f\u7528\u3057\u3066\u4fe1\u983c\u533a\u9593\u3092\u8a08\u7b97\u3057\u307e\u3059\u3002\u305f\u3060\u3057\u3001<strong>\u30e1\u30bd\u30c3\u30c9<\/strong>\u5f15\u6570\u3092\u4f7f\u7528\u3057\u3066\u5225\u306e\u30e1\u30bd\u30c3\u30c9\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u305f\u3068\u3048\u3070\u3001\u4e8c\u9805\u4fe1\u983c\u533a\u9593\u3092\u8a08\u7b97\u3059\u308b\u305f\u3081\u306b R \u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u8a00\u8a9e\u3067\u4f7f\u7528\u3055\u308c\u308b\u30c7\u30d5\u30a9\u30eb\u30c8\u306e\u95a2\u6570\u306f\u3001\u30a6\u30a3\u30eb\u30bd\u30f3 \u30b9\u30b3\u30a2\u533a\u9593\u3067\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\">Python \u3067\u4fe1\u983c\u533a\u9593\u3092\u8a08\u7b97\u3059\u308b\u3068\u304d\u306b\u3001\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3057\u3066\u3053\u306e\u30e1\u30bd\u30c3\u30c9\u3092\u6307\u5b9a\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">from<\/span> statsmodels. <span style=\"color: #3366ff;\">stats<\/span> . <span style=\"color: #3366ff;\">proportion<\/span> <span style=\"color: #008000;\">import<\/span> proportion_confint\n\n<span style=\"color: #008080;\">#calculate 95% confidence interval with 56 successes in 100 trials\n<\/span>proportion_confint(count= <span style=\"color: #008000;\">56<\/span> , nobs= <span style=\"color: #008000;\">100<\/span> , method=' <span style=\"color: #ff0000;\">wilson<\/span> ')\n\n(0.4622810465167698, 0.6532797336983921)\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u3053\u308c\u306f\u3001\u6cd5\u5f8b\u3092\u652f\u6301\u3059\u308b\u90e1\u4f4f\u6c11\u306e\u771f\u306e\u5272\u5408\u306e 95% \u4fe1\u983c\u533a\u9593\u304c<strong>[.4623, .6533]<\/strong>\u3067\u3042\u308b\u3053\u3068\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u306e\u4fe1\u983c\u533a\u9593\u306f\u3001\u6b63\u898f\u8fd1\u4f3c\u3092\u4f7f\u7528\u3057\u3066\u8a08\u7b97\u3055\u308c\u305f\u4fe1\u983c\u533a\u9593\u3068\u306f\u308f\u305a\u304b\u306b\u7570\u306a\u308a\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u30a2\u30eb\u30d5\u30a1<\/strong>\u5024\u3092\u8abf\u6574\u3057\u3066\u3001\u7570\u306a\u308b\u4fe1\u983c\u533a\u9593\u3092\u8a08\u7b97\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u305f\u3068\u3048\u3070\u3001\u30a2\u30eb\u30d5\u30a1\u3092 0.10 \u306b\u8a2d\u5b9a\u3057\u3066 90% \u4fe1\u983c\u533a\u9593\u3092\u8a08\u7b97\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">from<\/span> statsmodels. <span style=\"color: #3366ff;\">stats<\/span> . <span style=\"color: #3366ff;\">proportion<\/span> <span style=\"color: #008000;\">import<\/span> proportion_confint\n\n<span style=\"color: #008080;\">#calculate 90% confidence interval with 56 successes in 100 trials\n<\/span>proportion_confint(count= <span style=\"color: #008000;\">56<\/span> , nobs= <span style=\"color: #008000;\">100<\/span> , alpha= <span style=\"color: #008000;\">0.10<\/span> , method=' <span style=\"color: #ff0000;\">wilson<\/span> ')\n\n(0.47783814499647415, 0.6390007285095451)\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u3053\u308c\u306f\u3001\u6cd5\u5f8b\u3092\u652f\u6301\u3059\u308b\u90e1\u4f4f\u6c11\u306e\u771f\u306e\u5272\u5408\u306e 90% \u4fe1\u983c\u533a\u9593\u304c<strong>[.4778, .6390]<\/strong>\u3067\u3042\u308b\u3053\u3068\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><span style=\"color: #000000;\"><strong>\u6ce8<\/strong>: <a href=\"https:\/\/www.statsmodels.org\/devel\/generated\/statsmodels.stats.proportion.proportion_confint.html\" target=\"_blank\" rel=\"noopener\">\u3053\u3053\u3067\u3001<\/a> <strong>position_confint()<\/strong>\u95a2\u6570\u306e\u5b8c\u5168\u306a\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u3092\u898b\u3064\u3051\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/span><\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001Python \u3067\u4ed6\u306e\u4e00\u822c\u7684\u306a\u64cd\u4f5c\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ja\/python\u3066\u3099\u4fe1\u983c\u533a\u9593\u3092\u30d5\u309a\u30ed\u30c3\u30c8\u3059\u308b\/\" target=\"_blank\" rel=\"noopener\">Python \u3067\u4fe1\u983c\u533a\u9593\u3092\u30d7\u30ed\u30c3\u30c8\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u4e8c\u9805\u5206\u5e03python\/\" target=\"_blank\" rel=\"noopener\">Python \u3067\u4e8c\u9805\u5206\u5e03\u3092\u4f7f\u7528\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u4e8c\u9805\u78ba\u7387\u306e\u4fe1\u983c\u533a\u9593\u306f\u3001\u6b21\u306e\u5f0f\u3092\u4f7f\u7528\u3057\u3066\u8a08\u7b97\u3055\u308c\u307e\u3059\u3002 \u4fe1\u983c\u533a\u9593 = p +\/- z*(\u221a p(1-p) \/ n ) \u91d1\uff1a p\uff1a \u300c\u6210\u529f\u300d\u306e\u5272\u5408 z:\u9078\u629e\u3055\u308c\u305f Z \u5024 n:\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba Python \u3067\u3053\u306e\u30bf\u30a4\u30d7\u306e\u4fe1\u983c [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16],"tags":[],"class_list":["post-2925","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Python \u3067\u4e8c\u9805\u4fe1\u983c\u533a\u9593\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5 - Statorials<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001Python \u3067\u4e8c\u9805\u4fe1\u983c\u533a\u9593\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5\u3092\u4f8b\u3092\u6319\u3052\u3066\u8aac\u660e\u3057\u307e\u3059\u3002\" 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