{"id":3194,"date":"2023-07-18T18:01:40","date_gmt":"2023-07-18T18:01:40","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab%e1%84%8b%e1%85%b4-%e1%84%87%e1%85%ae%e1%84%90%e1%85%b3%e1%84%89%e1%85%b3%e1%84%90%e1%85%b3%e1%84%85%e1%85%a2%e1%86%b8\/"},"modified":"2023-07-18T18:01:40","modified_gmt":"2023-07-18T18:01:40","slug":"%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab%e1%84%8b%e1%85%b4-%e1%84%87%e1%85%ae%e1%84%90%e1%85%b3%e1%84%89%e1%85%b3%e1%84%90%e1%85%b3%e1%84%85%e1%85%a2%e1%86%b8","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab%e1%84%8b%e1%85%b4-%e1%84%87%e1%85%ae%e1%84%90%e1%85%b3%e1%84%89%e1%85%b3%e1%84%90%e1%85%b3%e1%84%85%e1%85%a2%e1%86%b8\/","title":{"rendered":"Python\uc5d0\uc11c \ubd80\ud2b8\uc2a4\ud2b8\ub798\ud551\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\ubd80\ud2b8\uc2a4\ud2b8\ub798\ud551\uc740<\/strong> \ud45c\ubcf8 \ud06c\uae30\uac00 \uc791\uace0 \uae30\ubcf8 \ubd84\ud3ec\ub97c \uc54c \uc218 \uc5c6\ub294 \uacbd\uc6b0 <a href=\"https:\/\/statorials.org\/ko\/\u1110\u1169\u11bc\u1100\u1168-\u1103\u1162-\u1106\u1162\u1100\u1162\u1107\u1167\u11ab\u1109\u116e\/\" target=\"_blank\" rel=\"noopener\">\ud1b5\uacc4<\/a> \uc5d0 \ub300\ud55c \uc2e0\ub8b0 \uad6c\uac04\uc744 \uad6c\uc131\ud558\ub294 \ub370 \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ubd80\ud2b8\uc2a4\ud2b8\ub798\ud551\uc758 \uae30\ubcf8 \ud504\ub85c\uc138\uc2a4\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\uc8fc\uc5b4\uc9c4 \ub370\uc774\ud130 \uc138\ud2b8\uc5d0\uc11c <em>k\uac1c\uc758<\/em> \ubc18\ubcf5 \uc0d8\ud50c\uc744 \ubcf5\uc6d0\ud558\uc5ec \ucd94\ucd9c\ud569\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\uac01 \uc0d8\ud50c\uc5d0 \ub300\ud574 \uad00\uc2ec \uc788\ub294 \ud1b5\uacc4\ub97c \uacc4\uc0b0\ud569\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\uc774\ub294 \uc8fc\uc5b4\uc9c4 \ud1b5\uacc4\uc5d0 \ub300\ud574 <em>k\uac1c\uc758<\/em> \uc11c\ub85c \ub2e4\ub978 \ucd94\uc815\uce58\ub97c \uc81c\uacf5\ud558\uba70, \uc774\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud1b5\uacc4\uc5d0 \ub300\ud55c \uc2e0\ub8b0 \uad6c\uac04\uc744 \uacc4\uc0b0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Python\uc5d0\uc11c \ubd80\ud2b8\uc2a4\ud2b8\ub7a9\ud558\ub294 \uac00\uc7a5 \uc26c\uc6b4 \ubc29\ubc95\uc740 <strong>SciPy<\/strong> \ub77c\uc774\ube0c\ub7ec\ub9ac\uc758 <a href=\"https:\/\/docs.scipy.org\/doc\/scipy\/reference\/generated\/scipy.stats.bootstrap.html\" target=\"_blank\" rel=\"noopener\">\ubd80\ud2b8\uc2a4\ud2b8\ub7a9<\/a> \uae30\ub2a5\uc744 \uc0ac\uc6a9\ud558\ub294 \uac83\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc774 \uae30\ub2a5\uc744 \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\uc608: Python\uc5d0\uc11c \ubd80\ud2b8\uc2a4\ud2b8\ub798\ud551 \uc218\ud589<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">15\uac1c\uc758 \uac12\uc744 \ud3ec\ud568\ud558\ub294 Python\uc5d0\uc11c \ub370\uc774\ud130 \uc138\ud2b8\ub97c \uc0dd\uc131\ud55c\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #008080;\"><strong>#define array of data values\n<span style=\"color: #000000;\">data = [7, 9, 10, 10, 12, 14, 15, 16, 16, 17, 19, 20, 21, 21, 23]<\/span><\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc911\uc559\uac12\uc5d0 \ub300\ud55c 95% \ubd80\ud2b8\uc2a4\ud2b8\ub7a9 \uc2e0\ub8b0 \uad6c\uac04\uc744 \uacc4\uc0b0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #008080;\"><strong><span style=\"color: #000000;\"><span style=\"color: #008000;\">from<\/span> scipy. <span style=\"color: #3366ff;\">stats<\/span> <span style=\"color: #008000;\">import<\/span> bootstrap\n<span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#convert array to sequence\n<\/span>data = (data,)\n\n<span style=\"color: #008080;\">#calculate 95% bootstrapped confidence interval for median\n<\/span>bootstrap_ci = bootstrap(data, np. <span style=\"color: #3366ff;\">median<\/span> , confidence_level= <span style=\"color: #008000;\">0.95<\/span> ,\n                         random_state= <span style=\"color: #008000;\">1<\/span> , method=' <span style=\"color: #ff0000;\">percentile<\/span> ')\n\n<span style=\"color: #008080;\">#view 95% boostrapped confidence interval\n<\/span><span style=\"color: #008000;\">print<\/span> ( <span style=\"color: #3366ff;\">bootstrap_ci.confidence_interval<\/span> )\n\nConfidenceInterval(low=10.0, high=20.0)\n<\/span><\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">\uc911\uc559\uac12\uc5d0 \ub300\ud55c 95% \ubd80\ud2b8\uc2a4\ud2b8\ub7a9 \uc2e0\ub8b0 \uad6c\uac04\uc740 <strong>[10.0, 20.0]<\/strong> \uc73c\ub85c \ub098\ud0c0\ub0a9\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Boostrap()<\/strong> \ud568\uc218\uac00 \ub0b4\ubd80\uc801\uc73c\ub85c \uc2e4\uc81c\ub85c \uc218\ud589\ud55c \uc791\uc5c5\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>bootstrap()<\/strong> \ud568\uc218\ub294 \uad50\uccb4\ub97c \ud1b5\ud574 9,999\uac1c\uc758 \uc0d8\ud50c\uc744 \uc0dd\uc131\ud588\uc2b5\ub2c8\ub2e4. (\uae30\ubcf8\uac12\uc740 9999\uc774\uc9c0\ub9cc <strong>n_resamples<\/strong> \uc778\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc774 \uc22b\uc790\ub97c \ubcc0\uacbd\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4)<\/span><\/li>\n<li> <span style=\"color: #000000;\">\uac01 \ubd80\ud2b8\uc2a4\ud2b8\ub7a9 \uc0d8\ud50c\uc5d0 \ub300\ud574 \uc911\uc559\uac12\uc774 \uacc4\uc0b0\ub418\uc5c8\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\uac01 \ud45c\ubcf8\uc758 \uc911\uc559\uac12\uc740 \uac00\uc7a5 \uc791\uc740 \uac83\ubd80\ud130 \ud070 \uac83 \uc21c\uc73c\ub85c \uc815\ub82c\ub418\uc5c8\uc73c\uba70, 2.5% \ubc31\ubd84\uc704\uc218\uc640 97.5% \ubc31\ubd84\uc704\uc218\uc758 \uc911\uc559\uac12\uc744 \uc0ac\uc6a9\ud558\uc5ec 95% \uc2e0\ub8b0\uad6c\uac04\uc758 \ud558\ud55c\uacfc \uc0c1\ud55c\uc744 \uad6c\uc131\ud558\uc600\ub2e4. %.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\uac70\uc758 \ubaa8\ub4e0 \ud1b5\uacc4\uc5d0 \ub300\ud574 \ubd80\ud2b8\uc2a4\ud2b8\ub7a9 \uc2e0\ub8b0 \uad6c\uac04\uc744 \uacc4\uc0b0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc608\ub97c \ub4e4\uc5b4 <strong>bootstrap()<\/strong> \ud568\uc218\uc5d0\uc11c <strong>np.median\uc744<\/strong> <strong>np.std<\/strong> \ub85c \ub300\uccb4\ud558\uc5ec \ud45c\uc900 \ud3b8\ucc28\uc5d0 \ub300\ud55c 95% \uc2e0\ub8b0 \uad6c\uac04\uc744 \uacc4\uc0b0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #008080;\"><strong><span style=\"color: #000000;\"><span style=\"color: #008000;\">from<\/span> scipy. <span style=\"color: #3366ff;\">stats<\/span> <span style=\"color: #008000;\">import<\/span> bootstrap\n<span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#convert array to sequence\n<\/span>data = (data,)\n\n<span style=\"color: #008080;\">#calculate 95% bootstrapped confidence interval for median\n<\/span>bootstrap_ci = bootstrap(data, np. <span style=\"color: #3366ff;\">std<\/span> , confidence_level= <span style=\"color: #008000;\">0.95<\/span> ,\n                         random_state= <span style=\"color: #008000;\">1<\/span> , method=' <span style=\"color: #ff0000;\">percentile<\/span> ')\n\n<span style=\"color: #008080;\">#view 95% boostrapped confidence interval\n<\/span><span style=\"color: #008000;\">print<\/span> ( <span style=\"color: #3366ff;\">bootstrap_ci.confidence_interval<\/span> )\n\nConfidenceInterval(low=3.3199732261303283, high=5.66478399066117)\n<\/span><\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">\ud45c\uc900\ud3b8\ucc28\uc5d0 \ub300\ud55c 95% \ubd80\ud2b8\uc2a4\ud2b8\ub7a9 \uc2e0\ub8b0\uad6c\uac04\uc740 <strong>[3.32, 5.67]<\/strong> \ub85c \ub098\ud0c0\ub0a9\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\ucc38\uace0<\/strong> : \uc774 \uc608\uc5d0\uc11c\ub294 95% \uc2e0\ub8b0 \uad6c\uac04\uc744 \uc0dd\uc131\ud558\ub3c4\ub85d \uc120\ud0dd\ud588\uc9c0\ub9cc <strong>trust_level<\/strong> \uc778\uc218 \uac12\uc744 \ubcc0\uacbd\ud558\uc5ec \ub2e4\ub978 \ud06c\uae30\uc758 \uc2e0\ub8b0 \uad6c\uac04\uc744 \uc0dd\uc131\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \ub2e4\ub978 \ud1b5\uacc4 \uc18c\ud504\ud2b8\uc6e8\uc5b4\uc5d0\uc11c \ubd80\ud2b8\uc2a4\ud2b8\ub7a9\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ko\/r\u110b\u1174-\u1107\u116e\u1110\u1173\u1109\u1173\u1110\u1173\u1105\u1162\u11b8\/\" target=\"_blank\" rel=\"noopener\">R\uc5d0\uc11c \ubd80\ud2b8\uc2a4\ud2b8\ub7a9\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u110b\u1166\u11a8\u1109\u1166\u11af\u110b\u1173\u11af-\u1109\u1175\u110c\u1161\u11a8\u1112\u1162-\u1107\u1169\u1109\u1166\u110b\u116d\/\" target=\"_blank\" rel=\"noopener\">Excel\uc5d0\uc11c \ubd80\ud2b8\uc2a4\ud2b8\ub7a9\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ubd80\ud2b8\uc2a4\ud2b8\ub798\ud551\uc740 \ud45c\ubcf8 \ud06c\uae30\uac00 \uc791\uace0 \uae30\ubcf8 \ubd84\ud3ec\ub97c \uc54c \uc218 \uc5c6\ub294 \uacbd\uc6b0 \ud1b5\uacc4 \uc5d0 \ub300\ud55c \uc2e0\ub8b0 \uad6c\uac04\uc744 \uad6c\uc131\ud558\ub294 \ub370 \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4. \ubd80\ud2b8\uc2a4\ud2b8\ub798\ud551\uc758 \uae30\ubcf8 \ud504\ub85c\uc138\uc2a4\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4. \uc8fc\uc5b4\uc9c4 \ub370\uc774\ud130 \uc138\ud2b8\uc5d0\uc11c k\uac1c\uc758 \ubc18\ubcf5 \uc0d8\ud50c\uc744 \ubcf5\uc6d0\ud558\uc5ec \ucd94\ucd9c\ud569\ub2c8\ub2e4. \uac01 \uc0d8\ud50c\uc5d0 \ub300\ud574 \uad00\uc2ec \uc788\ub294 \ud1b5\uacc4\ub97c \uacc4\uc0b0\ud569\ub2c8\ub2e4. \uc774\ub294 \uc8fc\uc5b4\uc9c4 \ud1b5\uacc4\uc5d0 \ub300\ud574 k\uac1c\uc758 \uc11c\ub85c \ub2e4\ub978 \ucd94\uc815\uce58\ub97c \uc81c\uacf5\ud558\uba70, \uc774\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud1b5\uacc4\uc5d0 \ub300\ud55c \uc2e0\ub8b0 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":["post-3194","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Python\uc5d0\uc11c \ubd80\ud2b8\uc2a4\ud2b8\ub798\ud551\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) - Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uba87 \uac00\uc9c0 \uc608\ub97c \ud1b5\ud574 Python\uc5d0\uc11c \ubd80\ud2b8\uc2a4\ud2b8\ub7a9\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.\" \/>\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\/ko\/\u1111\u1161\u110b\u1175\u110a\u1165\u11ab\u110b\u1174-\u1107\u116e\u1110\u1173\u1109\u1173\u1110\u1173\u1105\u1162\u11b8\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python\uc5d0\uc11c \ubd80\ud2b8\uc2a4\ud2b8\ub798\ud551\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) - Statorials\" \/>\n<meta property=\"og:description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uba87 \uac00\uc9c0 \uc608\ub97c \ud1b5\ud574 Python\uc5d0\uc11c 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