{"id":1617,"date":"2023-07-25T15:42:09","date_gmt":"2023-07-25T15:42:09","guid":{"rendered":"https:\/\/statorials.org\/cn\/python-%e4%b8%ad%e7%9a%84%e9%9f%a6%e5%b0%94%e5%a5%87%e6%96%b9%e5%b7%ae%e5%88%86%e6%9e%90\/"},"modified":"2023-07-25T15:42:09","modified_gmt":"2023-07-25T15:42:09","slug":"python-%e4%b8%ad%e7%9a%84%e9%9f%a6%e5%b0%94%e5%a5%87%e6%96%b9%e5%b7%ae%e5%88%86%e6%9e%90","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/python-%e4%b8%ad%e7%9a%84%e9%9f%a6%e5%b0%94%e5%a5%87%e6%96%b9%e5%b7%ae%e5%88%86%e6%9e%90\/","title":{"rendered":"Python \u4e2d\u7684\u97e6\u5c14\u5947\u65b9\u5dee\u5206\u6790\uff08\u4e00\u6b65\u4e00\u6b65\uff09"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u5f53\u4e0d\u6ee1\u8db3\u65b9\u5dee\u76f8\u7b49\u5047\u8bbe\u65f6\uff0c<strong>\u97e6\u5c14\u5947\u65b9\u5dee\u5206\u6790<\/strong>\u662f\u5178\u578b<a href=\"https:\/\/statorials.org\/cn\/\u5355\u5411\u65b9\u5dee\u5206\u6790\/\" target=\"_blank\" rel=\"noopener\">\u5355\u5411<\/a><a href=\"https:\/\/statorials.org\/cn\/\u7b49\u65b9\u5dee\u5047\u8bbe\/\" target=\"_blank\" rel=\"noopener\">\u65b9\u5dee\u5206\u6790<\/a>\u7684\u4e00\u79cd\u66ff\u4ee3\u65b9\u6cd5\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u5206\u6b65\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5728 Python \u4e2d\u6267\u884c Welch \u65b9\u5dee\u5206\u6790\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u7b2c 1 \u6b65\uff1a\u521b\u5efa\u6570\u636e<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4e3a\u4e86\u786e\u5b9a\u4e09\u79cd\u4e0d\u540c\u7684\u5b66\u4e60\u6280\u5de7\u662f\u5426\u4f1a\u5bfc\u81f4\u4e0d\u540c\u7684\u8003\u8bd5\u7ed3\u679c\uff0c\u6559\u6388\u968f\u673a\u5206\u914d 10 \u540d\u5b66\u751f\u4f7f\u7528\u6bcf\u79cd\u6280\u5de7\uff08\u6280\u5de7 A\u3001B \u6216 C\uff09\u4e00\u5468\uff0c\u7136\u540e\u4e3a\u6bcf\u4e2a\u5b66\u751f\u63d0\u4f9b\u540c\u7b49\u96be\u5ea6\u7684\u6d4b\u8bd5\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\">30\u540d\u540c\u5b66\u7684\u8003\u8bd5\u6210\u7ee9\u5982\u4e0b\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>A = [64, 66, 68, 75, 78, 94, 98, 79, 71, 80]\nB = [91, 92, 93, 90, 97, 94, 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>\u7b2c 2 \u6b65\uff1a\u7b49\u5dee\u68c0\u9a8c<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u53ef\u4ee5\u6267\u884c<a href=\"https:\/\/statorials.org\/cn\/\u5df4\u7279\u5229\u7279\u68c0\u9a8c\/\" target=\"_blank\" rel=\"noopener\">Bartlett \u68c0\u9a8c<\/a>\u6765\u786e\u5b9a\u6bcf\u7ec4\u4e4b\u95f4\u7684\u65b9\u5dee\u662f\u5426\u76f8\u7b49\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5982\u679c\u68c0\u9a8c\u7edf\u8ba1\u91cf\u7684<a href=\"https:\/\/statorials.org\/cn\/p\u503c\u7edf\u8ba1\u663e\u7740\u6027\/\" target=\"_blank\" rel=\"noopener\">p \u503c<\/a>\u4f4e\u4e8e\u4e00\u5b9a\u7684\u663e\u7740\u6027\u6c34\u5e73\uff08\u4f8b\u5982 \u03b1 = 0.05\uff09\uff0c\u90a3\u4e48\u6211\u4eec\u53ef\u4ee5\u62d2\u7edd\u539f\u5047\u8bbe\u5e76\u5f97\u51fa\u7ed3\u8bba\uff1a\u5e76\u975e\u6240\u6709\u7ec4\u90fd\u5177\u6709\u76f8\u540c\u7684\u65b9\u5dee\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u5728Python\u4e2d\u6267\u884cBartlett\u6d4b\u8bd5\uff1a<\/span><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><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 \n<\/span>stats. <span style=\"color: #3366ff;\">bartlett<\/span> (A, B, C)\n\nBartlettResult(statistic=9.039674395, pvalue=0.010890796567)\n<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">Bartlett \u68c0\u9a8c\u7684 p \u503c ( <strong>.01089<\/strong> ) \u5c0f\u4e8e \u03b1 = .05\uff0c\u8fd9\u610f\u5473\u7740\u6211\u4eec\u53ef\u4ee5\u62d2\u7edd\u6bcf\u4e2a\u7ec4\u5177\u6709\u76f8\u540c\u65b9\u5dee\u7684\u539f\u5047\u8bbe\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u56e0\u6b64\uff0c\u65b9\u5dee\u76f8\u7b49\u7684\u5047\u8bbe\u88ab\u8fdd\u53cd\uff0c\u6211\u4eec\u53ef\u4ee5\u7ee7\u7eed\u8fdb\u884c\u97e6\u5c14\u5947\u65b9\u5dee\u5206\u6790\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u7b2c 3 \u6b65\uff1a\u6267\u884c\u97e6\u5c14\u5947\u65b9\u5dee\u5206\u6790<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u8981\u5728 Python \u4e2d\u6267\u884c Welch \u65b9\u5dee\u5206\u6790\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528 Penguin \u5305\u4e2d\u7684<strong>welch_anova()<\/strong>\u51fd\u6570\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u5b89\u88c5\u4f01\u9e45\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #000000;\">pip <span style=\"color: #008000;\">install<\/span> Penguin<\/span>\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u7136\u540e\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4e0b\u9762\u7684\u4ee3\u7801\u6765\u6267\u884cWelch\u7684ANOVA\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import <span style=\"color: #000000;\">penguin<\/span> as <span style=\"color: #000000;\">pg<\/span>\nimport<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n<span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#createDataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">score<\/span> ': [64, 66, 68, 75, 78, 94, 98, 79, 71, 80,\n                             91, 92, 93, 90, 97, 94, 82, 88, 95, 96,\n                             79, 78, 88, 94, 92, 85, 83, 85, 82, 81],\n                   ' <span style=\"color: #ff0000;\">group<\/span> ': np. <span style=\"color: #3366ff;\">repeat<\/span> (['a', 'b', 'c'], <span style=\"color: #ff0000;\">repeats<\/span> = <span style=\"color: #008000;\">10<\/span> )}) \n\n<span style=\"color: #008080;\">#perform Welch's ANOVA\n<\/span>pg. <span style=\"color: #3366ff;\">welch_anova<\/span> (dv=' <span style=\"color: #ff0000;\">score<\/span> ', between=' <span style=\"color: #ff0000;\">group<\/span> ', data=df)\n\n        Source ddof1 ddof2 F p-unc np2\n0 group 2 16.651295 9.717185 0.001598 0.399286\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u65b9\u5dee\u5206\u6790\u8868\u7684\u603b\u4f53 p \u503c ( <strong>0.001598<\/strong> ) \u5c0f\u4e8e \u03b1 = 0.05\uff0c\u8fd9\u610f\u5473\u7740\u6211\u4eec\u53ef\u4ee5\u62d2\u7edd\u4e09\u79cd\u7814\u7a76\u6280\u672f\u4e4b\u95f4\u7684\u8003\u8bd5\u7ed3\u679c\u76f8\u540c\u7684\u539f\u5047\u8bbe\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u7136\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u6267\u884c Games-Howell \u4e8b\u540e\u68c0\u9a8c\u6765\u51c6\u786e\u786e\u5b9a\u54ea\u7ec4\u5747\u503c\u4e0d\u540c\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>pg. <span style=\"color: #3366ff;\">pairwise_gameshowell<\/span> (dv=' <span style=\"color: #ff0000;\">score<\/span> ', between=' <span style=\"color: #ff0000;\">group<\/span> ', data=df)\n\n\n        A B mean(A) mean(B) diff se T df pval\t\n0 a b 77.3 91.8 -14.5 3.843754 -3.772354 11.6767 0.0072\n1 a c 77.3 84.7 -7.4 3.952777 -1.872102 12.7528 0.1864\n2 b c 91.8 84.7 7.1 2.179959 3.256942 17.4419 0.0119\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u4ece p \u503c\u53ef\u4ee5\u770b\u51fa\uff0c <strong>a<\/strong>\u7ec4\u548c<strong>b<\/strong>\u7ec4\u4e4b\u95f4\u7684\u5e73\u5747\u5dee\u5f02\u663e\u7740\u4e0d\u540c\uff0c <strong>b<\/strong>\u7ec4\u548c<strong>c<\/strong>\u7ec4\u4e4b\u95f4\u7684\u5e73\u5747\u5dee\u5f02\u4e5f\u663e\u7740\u4e0d\u540c\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h3>\n<p><a href=\"https:\/\/statorials.org\/cn\/python-\u5355\u5411\u65b9\u5dee\u5206\u6790\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 Python \u4e2d\u6267\u884c\u5355\u5411\u65b9\u5dee\u5206\u6790<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/python-\u53cc\u5411\u65b9\u5dee\u5206\u6790\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 Python \u4e2d\u6267\u884c\u53cc\u5411\u65b9\u5dee\u5206\u6790<\/a><br \/> <a href=\"https:\/\/statorials.org\/cn\/\u91cd\u590d\u6d4b\u91cf\u65b9\u5dee\u5206\u6790python\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 Python \u4e2d\u6267\u884c\u91cd\u590d\u6d4b\u91cf\u65b9\u5dee\u5206\u6790<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u5f53\u4e0d\u6ee1\u8db3\u65b9\u5dee\u76f8\u7b49\u5047\u8bbe\u65f6\uff0c\u97e6\u5c14\u5947\u65b9\u5dee\u5206\u6790\u662f\u5178\u578b\u5355\u5411\u65b9\u5dee\u5206\u6790\u7684\u4e00\u79cd\u66ff\u4ee3\u65b9\u6cd5\u3002 \u4ee5\u4e0b\u5206\u6b65\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5728 Pytho [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-1617","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - 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