{"id":1595,"date":"2023-07-25T17:28:37","date_gmt":"2023-07-25T17:28:37","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e3%83%8f%e3%82%99%e3%83%bc%e3%83%88%e3%83%ac%e3%83%83%e3%83%84%e3%81%aepython%e3%83%86%e3%82%b9%e3%83%88\/"},"modified":"2023-07-25T17:28:37","modified_gmt":"2023-07-25T17:28:37","slug":"%e3%83%8f%e3%82%99%e3%83%bc%e3%83%88%e3%83%ac%e3%83%83%e3%83%84%e3%81%aepython%e3%83%86%e3%82%b9%e3%83%88","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/%e3%83%8f%e3%82%99%e3%83%bc%e3%83%88%e3%83%ac%e3%83%83%e3%83%84%e3%81%aepython%e3%83%86%e3%82%b9%e3%83%88\/","title":{"rendered":"Python \u3067 bartlett \u30c6\u30b9\u30c8\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5 (\u30b9\u30c6\u30c3\u30d7\u30d0\u30a4\u30b9\u30c6\u30c3\u30d7)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><a href=\"https:\/\/statorials.org\/ja\/\u30cf\u3099\u30fc\u30c8\u30ec\u30c3\u30c8\u30c6\u30b9\u30c8\/\" target=\"_blank\" rel=\"noopener\">\u30d0\u30fc\u30c8\u30ec\u30c3\u30c8\u691c\u5b9a\u306f\u3001<\/a><\/span><span style=\"color: #000000;\">\u8907\u6570\u306e\u30b0\u30eb\u30fc\u30d7\u9593\u306e\u5206\u6563\u304c\u7b49\u3057\u3044\u304b\u3069\u3046\u304b\u3092\u5224\u65ad\u3059\u308b\u7d71\u8a08\u691c\u5b9a\u3067\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u591a\u304f\u306e\u7d71\u8a08\u691c\u5b9a (<a href=\"https:\/\/statorials.org\/ja\/\u4e00\u65b9\u5411\u5206\u6563\u5206\u6790\/\" target=\"_blank\" rel=\"noopener\">\u4e00\u5143\u914d\u7f6e ANOVA<\/a>\u306a\u3069) \u306f\u3001\u30b5\u30f3\u30d7\u30eb\u9593\u306e\u5206\u6563\u304c\u7b49\u3057\u3044\u3053\u3068\u3092\u524d\u63d0\u3068\u3057\u3066\u3044\u307e\u3059\u3002\u30d0\u30fc\u30c8\u30ec\u30c3\u30c8\u691c\u5b9a\u3092\u4f7f\u7528\u3057\u3066\u3001\u3053\u306e\u4eee\u8aac\u3092\u691c\u8a3c\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u306e\u691c\u5b9a\u3067\u306f\u3001\u6b21\u306e\u5e30\u7121\u4eee\u8aac\u3068\u5bfe\u7acb<a href=\"https:\/\/statorials.org\/ja\/\u4eee\u8aac\u691c\u8a3c1\/\" target=\"_blank\" rel=\"noopener\">\u4eee\u8aac\u3092<\/a>\u4f7f\u7528\u3057\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>H <sub>0<\/sub> :<\/strong>\u5404\u30b0\u30eb\u30fc\u30d7\u9593\u306e\u5206\u6563\u306f\u7b49\u3057\u3044\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>H <sub>A<\/sub> :<\/strong>\u5c11\u306a\u304f\u3068\u3082 1 \u3064\u306e\u30b0\u30eb\u30fc\u30d7\u306b\u306f\u3001\u4ed6\u306e\u30b0\u30eb\u30fc\u30d7\u3068\u7b49\u3057\u304f\u306a\u3044\u5206\u6563\u304c\u3042\u308a\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u691c\u5b9a\u7d71\u8a08\u91cf\u306f<em>\u3001k-1<\/em>\u81ea\u7531\u5ea6\u306e\u30ab\u30a4\u4e8c\u4e57\u5206\u5e03\u306b\u5f93\u3044\u307e\u3059\u3002\u3053\u3053\u3067\u3001 <em>k<\/em>\u306f\u30b0\u30eb\u30fc\u30d7\u306e\u6570\u3067\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u691c\u5b9a\u7d71\u8a08\u91cf\u306e\u5bfe\u5fdc\u3059\u308b<a href=\"https:\/\/statorials.org\/ja\/p-\u5024\u306e\u7d71\u8a08\u7684\u6709\u610f\u6027\/\" target=\"_blank\" rel=\"noopener\">p \u5024\u304c<\/a>\u7279\u5b9a\u306e\u6709\u610f\u6c34\u6e96 (\u03b1 = 0.05 \u306a\u3069) \u3092\u4e0b\u56de\u3063\u3066\u3044\u308b\u5834\u5408\u3001\u5e30\u7121\u4eee\u8aac\u3092\u68c4\u5374\u3057\u3001\u3059\u3079\u3066\u306e\u30b0\u30eb\u30fc\u30d7\u306e\u5206\u6563\u304c\u540c\u3058\u3067\u306f\u306a\u3044\u3068\u7d50\u8ad6\u4ed8\u3051\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b9\u30c6\u30c3\u30d7\u30d0\u30a4\u30b9\u30c6\u30c3\u30d7\u306e\u4f8b\u3067\u306f\u3001Python \u3067 Bartlett \u30c6\u30b9\u30c8\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5\u3092\u8aac\u660e\u3057\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u30b9\u30c6\u30c3\u30d7 1: \u30c7\u30fc\u30bf\u3092\u4f5c\u6210\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">3 \u3064\u306e\u7570\u306a\u308b\u5b66\u7fd2\u624b\u6cd5\u304c\u7570\u306a\u308b\u8a66\u9a13\u7d50\u679c\u306b\u3064\u306a\u304c\u308b\u304b\u3069\u3046\u304b\u3092\u5224\u65ad\u3059\u308b\u305f\u3081\u306b\u3001\u6559\u6388\u306f 10 \u4eba\u306e\u5b66\u751f\u3092\u30e9\u30f3\u30c0\u30e0\u306b\u5272\u308a\u5f53\u3066\u3066\u30011 \u9031\u9593\u5404\u624b\u6cd5 (\u624b\u6cd5 A\u3001B\u3001\u307e\u305f\u306f C) \u3092\u4f7f\u7528\u3055\u305b\u3001\u5404\u5b66\u751f\u306b\u540c\u3058\u96e3\u6613\u5ea6\u306e\u30c6\u30b9\u30c8\u3092\u8ab2\u3057\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\">30 \u540d\u306e\u5b66\u751f\u306e\u8a66\u9a13\u7d50\u679c\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create data<\/span>\nA = [85, 86, 88, 75, 78, 94, 98, 79, 71, 80]\nB = [91, 92, 93, 85, 87, 84, 82, 88, 95, 96]\nC = [79, 78, 88, 94, 92, 85, 83, 85, 82, 81]\n<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u30b9\u30c6\u30c3\u30d7 2: \u30d0\u30fc\u30c8\u30ec\u30c3\u30c8 \u30c6\u30b9\u30c8\u3092\u5b9f\u884c\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">Bartlett \u30c6\u30b9\u30c8\u3092\u5b9f\u884c\u3059\u308b\u306b\u306f\u3001 <strong>scipy.stats.bartlett()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u306e\u4f8b\u3067\u3053\u306e\u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u65b9\u6cd5\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> scipy. <span style=\"color: #3366ff;\">stats<\/span> <span style=\"color: #008000;\">as<\/span> stats\n\n<span style=\"color: #008080;\">#perform Bartlett's test<\/span>\nstats. <span style=\"color: #3366ff;\">bartlett<\/span> (A, B, C)\n\nBartlettResult(statistic=3.30243757, pvalue=0.191815983)\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u30c6\u30b9\u30c8\u306f\u6b21\u306e\u7d50\u679c\u3092\u8fd4\u3057\u307e\u3059\u3002<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">\u691c\u5b9a\u7d71\u8a08\u91cf<em>B<\/em> : <strong>3.3024<\/strong><\/span><\/li>\n<li> <span style=\"color: #000000;\">P \u5024: <strong>0.1918<\/strong><\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">p \u5024\u306f 0.05 \u672a\u6e80\u3067\u306f\u306a\u3044\u305f\u3081\u3001\u6559\u6388\u306f\u5e30\u7121\u4eee\u8aac\u3092\u68c4\u5374\u3067\u304d\u307e\u305b\u3093\u3002\u8a00\u3044\u63db\u3048\u308c\u3070\u3001\u5f7c\u5973\u306f 3 \u3064\u306e\u30b0\u30eb\u30fc\u30d7\u306b\u7570\u306a\u308b\u30ae\u30e3\u30c3\u30d7\u304c\u3042\u308b\u3068\u8a00\u3048\u308b\u5341\u5206\u306a\u8a3c\u62e0\u3092\u6301\u3063\u3066\u3044\u307e\u305b\u3093\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3057\u305f\u304c\u3063\u3066\u3001\u4e00\u5143\u914d\u7f6e\u5206\u6563\u5206\u6790\u306e\u5b9f\u884c\u3092\u7d9a\u884c\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h3>\n<p><a href=\"https:\/\/statorials.org\/ja\/\u30cf\u3099\u30fc\u30c8\u30ec\u30c3\u30c8\u30c6\u30b9\u30c8\u96fb\u5353\/\" target=\"_blank\" rel=\"noopener\">\u30d0\u30fc\u30c8\u30ec\u30c3\u30c8\u306e\u30c6\u30b9\u30c8\u96fb\u5353<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u30bf\u3099\u30ce\u30cf\u3099\u4eee\u8aac\/\" target=\"_blank\" rel=\"noopener\">ANOVA \u306e\u4eee\u5b9a\u3092\u78ba\u8a8d\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u4e00\u65b9\u5411\u5206\u6563\u5206\u6790python\/\" target=\"_blank\" rel=\"noopener\">Python \u3067\u4e00\u5143\u914d\u7f6e\u5206\u6563\u5206\u6790\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u30d0\u30fc\u30c8\u30ec\u30c3\u30c8\u691c\u5b9a\u306f\u3001\u8907\u6570\u306e\u30b0\u30eb\u30fc\u30d7\u9593\u306e\u5206\u6563\u304c\u7b49\u3057\u3044\u304b\u3069\u3046\u304b\u3092\u5224\u65ad\u3059\u308b\u7d71\u8a08\u691c\u5b9a\u3067\u3059\u3002 \u591a\u304f\u306e\u7d71\u8a08\u691c\u5b9a (\u4e00\u5143\u914d\u7f6e ANOVA\u306a\u3069) \u306f\u3001\u30b5\u30f3\u30d7\u30eb\u9593\u306e\u5206\u6563\u304c\u7b49\u3057\u3044\u3053\u3068\u3092\u524d\u63d0\u3068\u3057\u3066\u3044\u307e\u3059\u3002\u30d0\u30fc\u30c8\u30ec\u30c3\u30c8\u691c\u5b9a\u3092\u4f7f\u7528\u3057\u3066\u3001\u3053\u306e\u4eee\u8aac\u3092 [&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-1595","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 Bartlett \u30c6\u30b9\u30c8\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5 (\u30b9\u30c6\u30c3\u30d7\u30d0\u30a4\u30b9\u30c6\u30c3\u30d7)<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001Python \u3067 Bartlett \u30c6\u30b9\u30c8\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5\u3092\u30b9\u30c6\u30c3\u30d7\u3054\u3068\u306e\u4f8b\u3068\u3068\u3082\u306b\u8aac\u660e\u3057\u307e\u3059\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/ja\/\u30cf\u3099\u30fc\u30c8\u30ec\u30c3\u30c4\u306epython\u30c6\u30b9\u30c8\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python \u3067 Bartlett \u30c6\u30b9\u30c8\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5 (\u30b9\u30c6\u30c3\u30d7\u30d0\u30a4\u30b9\u30c6\u30c3\u30d7)\" \/>\n<meta property=\"og:description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001Python \u3067 Bartlett \u30c6\u30b9\u30c8\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5\u3092\u30b9\u30c6\u30c3\u30d7\u3054\u3068\u306e\u4f8b\u3068\u3068\u3082\u306b\u8aac\u660e\u3057\u307e\u3059\u3002\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ja\/\u30cf\u3099\u30fc\u30c8\u30ec\u30c3\u30c4\u306epython\u30c6\u30b9\u30c8\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-25T17:28:37+00:00\" \/>\n<meta name=\"author\" content=\"\u30d9\u30f3\u30b8\u30e3\u30df\u30f3\u30fb\u30a2\u30f3\u30c0\u30fc\u30bd\u30f3\u535a\u58eb\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u57f7\u7b46\u8005\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u30d9\u30f3\u30b8\u30e3\u30df\u30f3\u30fb\u30a2\u30f3\u30c0\u30fc\u30bd\u30f3\u535a\u58eb\" \/>\n<script type=\"application\/ld+json\" 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