{"id":1061,"date":"2023-07-27T19:26:11","date_gmt":"2023-07-27T19:26:11","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%91%e1%85%a7%e1%86%bc%e1%84%80%e1%85%b2%e1%86%ab%e1%84%8b%e1%85%b4-%e1%84%91%e1%85%ad%e1%84%8c%e1%85%ae%e1%86%ab-%e1%84%8b\/"},"modified":"2023-07-27T19:26:11","modified_gmt":"2023-07-27T19:26:11","slug":"%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab-%e1%84%91%e1%85%a7%e1%86%bc%e1%84%80%e1%85%b2%e1%86%ab%e1%84%8b%e1%85%b4-%e1%84%91%e1%85%ad%e1%84%8c%e1%85%ae%e1%86%ab-%e1%84%8b","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%91%e1%85%a7%e1%86%bc%e1%84%80%e1%85%b2%e1%86%ab%e1%84%8b%e1%85%b4-%e1%84%91%e1%85%ad%e1%84%8c%e1%85%ae%e1%86%ab-%e1%84%8b\/","title":{"rendered":"Python\uc5d0\uc11c \ud3c9\uade0\uc758 \ud45c\uc900 \uc624\ucc28\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\ud3c9\uade0\uc758 \ud45c\uc900 \uc624\ucc28\ub294<\/strong> \ub370\uc774\ud130 \uc138\ud2b8\uc758 \uac12 \ubd84\ud3ec\ub97c \uce21\uc815\ud558\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4. \ub2e4\uc74c\uacfc \uac19\uc774 \uacc4\uc0b0\ub429\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\ud3c9\uade0\uc758 \ud45c\uc900\uc624\ucc28 = s \/ \u221an<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\uae08:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>s<\/strong> : \ud45c\ubcf8 \ud45c\uc900\ud3b8\ucc28<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>n<\/strong> : \ud45c\ubcf8 \ud06c\uae30<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc5d0\uc11c \ub370\uc774\ud130 \uc138\ud2b8 \ud3c9\uade0\uc758 \ud45c\uc900 \uc624\ucc28\ub97c \uacc4\uc0b0\ud558\ub294 \ub370 \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294 \ub450 \uac00\uc9c0 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4. \ub450 \ubc29\ubc95 \ubaa8\ub450 \uc815\ud655\ud788 \ub3d9\uc77c\ud55c \uacb0\uacfc\ub97c \uc0dd\uc131\ud569\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\ubc29\ubc95 1: SciPy \uc0ac\uc6a9<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ud3c9\uade0\uc758 \ud45c\uc900 \uc624\ucc28\ub97c \uacc4\uc0b0\ud558\ub294 \uccab \ubc88\uc9f8 \ubc29\ubc95\uc740 SciPy Stats \ub77c\uc774\ube0c\ub7ec\ub9ac\uc758 <a href=\"https:\/\/docs.scipy.org\/doc\/scipy\/reference\/generated\/scipy.stats.sem.html\" target=\"_blank\" rel=\"noopener noreferrer\">sem()<\/a> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\ub294 \uac83\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 \uc774 \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">from<\/span> scipy. <span style=\"color: #3366ff;\">stats<\/span> <span style=\"color: #008000;\">import<\/span> week\n\n<span style=\"color: #008080;\">#define dataset<\/span> \ndata = [3, 4, 4, 5, 7, 8, 12, 14, 14, 15, 17, 19, 22, 24, 24, 24, 25, 28, 28, 29]\n\n<span style=\"color: #008080;\">#calculate standard error of the mean<\/span> \nsem(data)\n\n2.001447<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ud3c9\uade0\uc758 \ud45c\uc900\uc624\ucc28\ub294 <strong>2.001447<\/strong> \ub85c \ub098\ud0c0\ub09c\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\ubc29\ubc95 2: NumPy \uc0ac\uc6a9<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub370\uc774\ud130 \uc138\ud2b8 \ud3c9\uade0\uc758 \ud45c\uc900 \uc624\ucc28\ub97c \uacc4\uc0b0\ud558\ub294 \ub610 \ub2e4\ub978 \ubc29\ubc95\uc740 NumPy\uc758 <a href=\"https:\/\/numpy.org\/doc\/stable\/reference\/generated\/numpy.std.html\" target=\"_blank\" rel=\"noopener noreferrer\">std()<\/a> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\ub294 \uac83\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <em><span style=\"color: #000000;\">\ubaa8\uc9d1\ub2e8 \ud45c\uc900\ud3b8\ucc28\uac00 \uc544\ub2cc \ud45c\ubcf8 \ud45c\uc900\ud3b8\ucc28\ub97c \uacc4\uc0b0\ud558\ub824\uba74 \uc774 \ud568\uc218\uc758 \uc778\uc218\uc5d0 <strong>ddof=1\uc744<\/strong> \uc9c0\uc815\ud574\uc57c \ud569\ub2c8\ub2e4.<\/span><\/em><\/p>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 \uc774\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#define dataset<\/span>\ndata = np.array([3, 4, 4, 5, 7, 8, 12, 14, 14, 15, 17, 19, 22, 24, 24, 24, 25, 28, 28, 29])\n\n<span style=\"color: #008080;\">#calculate standard error of the mean<\/span> \nn.p. <span style=\"color: #3366ff;\">std<\/span> (data, ddof= <span style=\"color: #008000;\">1<\/span> ) \/ np. <span style=\"color: #3366ff;\">sqrt<\/span> ( <span style=\"color: #3366ff;\">np.size<\/span> (data))\n\n2.001447\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uc774\ubc88\uc5d0\ub3c4 \ud3c9\uade0\uc758 \ud45c\uc900\uc624\ucc28\ub294 <strong>2.001447<\/strong> \uc785\ub2c8\ub2e4.<\/span><\/p>\n<h3> <strong>\ud3c9\uade0\uc758 \ud45c\uc900\uc624\ucc28\ub97c \ud574\uc11d\ud558\ub294 \ubc29\ubc95<\/strong><\/h3>\n<p> <span style=\"color: #000000;\">\ud3c9\uade0\uc758 \ud45c\uc900 \uc624\ucc28\ub294 \ub2e8\uc21c\ud788 \ud3c9\uade0 \uc8fc\uc704\uc758 \uac12 \ubd84\ud3ec\ub97c \uce21\uc815\ud55c \uac83\uc785\ub2c8\ub2e4. \ud3c9\uade0\uc758 \ud45c\uc900\uc624\ucc28\ub97c \ud574\uc11d\ud560 \ub54c \uc5fc\ub450\uc5d0 \ub450\uc5b4\uc57c \ud560 \ub450 \uac00\uc9c0 \uc0ac\ud56d\uc774 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>1. \ud3c9\uade0\uc758 \ud45c\uc900 \uc624\ucc28\uac00 \ud074\uc218\ub85d \ub370\uc774\ud130 \uc138\ud2b8\uc758 \ud3c9\uade0 \uc8fc\uc704\uc5d0 \uac12\uc774 \ub354 \ub9ce\uc774 \ud769\uc5b4\uc838 \uc788\uc2b5\ub2c8\ub2e4.<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774\ub97c \uc124\uba85\ud558\uae30 \uc704\ud574 \uc774\uc804 \ub370\uc774\ud130\uc138\ud2b8\uc758 \ub9c8\uc9c0\ub9c9 \uac12\uc744 \ud6e8\uc52c \ub354 \ud070 \uc22b\uc790\ub85c \ubcc0\uacbd\ud558\ub294 \uacbd\uc6b0\ub97c \uace0\ub824\ud574\ubcf4\uc138\uc694.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">from<\/span> scipy. <span style=\"color: #3366ff;\">stats<\/span> <span style=\"color: #008000;\">import<\/span> week\n\n<span style=\"color: #008080;\">#define dataset<\/span> \ndata = [3, 4, 4, 5, 7, 8, 12, 14, 14, 15, 17, 19, 22, 24, 24, 24, 25, 28, 28, <span style=\"color: #800080;\">150<\/span> ]\n\n<span style=\"color: #008080;\">#calculate standard error of the mean<\/span> \nsem(data)\n\n<span style=\"color: #000000;\">6.978265<\/span>\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ud45c\uc900 \uc624\ub958\uac00 <strong>2.001447<\/strong> \uc5d0\uc11c <strong>6.978265<\/strong> \ub85c \uc5b4\ub5bb\uac8c \uc99d\uac00\ud558\ub294\uc9c0 \ud655\uc778\ud558\uc138\uc694. \uc774\ub294 \uc774 \ub370\uc774\ud130\uc138\ud2b8\uc758 \uac12\uc774 \uc774\uc804 \ub370\uc774\ud130\uc138\ud2b8\uc5d0 \ube44\ud574 \ud3c9\uade0\uc744 \uc911\uc2ec\uc73c\ub85c \ub354 \ub9ce\uc774 \ubd84\ud3ec\ub418\uc5b4 \uc788\uc74c\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>2. \ud45c\ubcf8\ud06c\uae30\uac00 \ucee4\uc9c8\uc218\ub85d \ud3c9\uade0\uc758 \ud45c\uc900\uc624\ucc28\ub294 \uac10\uc18c\ud558\ub294 \uacbd\ud5a5\uc744 \ubcf4\uc778\ub2e4.<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774\ub97c \uc124\uba85\ud558\uae30 \uc704\ud574 \ub2e4\uc74c \ub450 \ub370\uc774\ud130 \uc138\ud2b8\uc5d0 \ub300\ud55c \ud3c9\uade0\uc758 \ud45c\uc900 \uc624\ucc28\ub97c \uace0\ub824\ud558\uc2ed\uc2dc\uc624.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #008000;\">from<\/span> <span style=\"color: #000000;\">scipy<\/span> . <span style=\"color: #3366ff;\">stats<\/span> <span style=\"color: #008000;\">import<\/span> <span style=\"color: #000000;\">week<\/span> \n\n#define first dataset and find SEM<\/span>\ndata1 = [1, 2, 3, 4, 5]\nsem(data1)\n\n0.7071068\n\n<span style=\"color: #008080;\">#define second dataset and find SEM<\/span>\ndata2 = [1, 2, 3, 4, 5, 1, 2, 3, 4, 5]\nsem(data2)\n\n0.4714045\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub450 \ubc88\uc9f8 \ub370\uc774\ud130 \uc138\ud2b8\ub294 \ub2e8\uc21c\ud788 \ub450 \ubc88 \ubc18\ubcf5\ub41c \uccab \ubc88\uc9f8 \ub370\uc774\ud130 \uc138\ud2b8\uc785\ub2c8\ub2e4. \ub530\ub77c\uc11c \ub450 \ub370\uc774\ud130 \uc138\ud2b8 \ubaa8\ub450 \ud3c9\uade0\uc740 \ub3d9\uc77c\ud558\uc9c0\ub9cc \ub450 \ubc88\uc9f8 \ub370\uc774\ud130 \uc138\ud2b8\uc758 \ud45c\ubcf8 \ud06c\uae30\uac00 \ub354 \ud06c\ubbc0\ub85c \ud45c\uc900 \uc624\ucc28\uac00 \ub354 \uc791\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n<p> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1167\u11bc\u1100\u1172\u11ab-r\u110b\u1174-\u1111\u116d\u110c\u116e\u11ab-\u110b\u1169\u110e\u1161\/\" target=\"_blank\" rel=\"noopener noreferrer\">R\uc5d0\uc11c \ud3c9\uade0\uc758 \ud45c\uc900 \uc624\ucc28\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u110b\u1166\u11a8\u1109\u1166\u11af-\u1111\u116d\u110c\u116e\u11ab\u110b\u1169\u110e\u1161\/\" target=\"_blank\" rel=\"noopener noreferrer\">Excel\uc5d0\uc11c \ud3c9\uade0\uc758 \ud45c\uc900 \uc624\ucc28\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95<\/a><br \/> Google \uc2a4\ud504\ub808\ub4dc\uc2dc\ud2b8\uc5d0\uc11c \ud3c9\uade0\uc758 \ud45c\uc900 \uc624\ucc28\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ud3c9\uade0\uc758 \ud45c\uc900 \uc624\ucc28\ub294 \ub370\uc774\ud130 \uc138\ud2b8\uc758 \uac12 \ubd84\ud3ec\ub97c \uce21\uc815\ud558\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4. \ub2e4\uc74c\uacfc \uac19\uc774 \uacc4\uc0b0\ub429\ub2c8\ub2e4. \ud3c9\uade0\uc758 \ud45c\uc900\uc624\ucc28 = s \/ \u221an \uae08: s : \ud45c\ubcf8 \ud45c\uc900\ud3b8\ucc28 n : \ud45c\ubcf8 \ud06c\uae30 \uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc5d0\uc11c \ub370\uc774\ud130 \uc138\ud2b8 \ud3c9\uade0\uc758 \ud45c\uc900 \uc624\ucc28\ub97c \uacc4\uc0b0\ud558\ub294 \ub370 \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294 \ub450 \uac00\uc9c0 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4. \ub450 \ubc29\ubc95 \ubaa8\ub450 \uc815\ud655\ud788 \ub3d9\uc77c\ud55c \uacb0\uacfc\ub97c \uc0dd\uc131\ud569\ub2c8\ub2e4. \ubc29\ubc95 1: SciPy \uc0ac\uc6a9 [&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-1061","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 \ud3c9\uade0\uc758 \ud45c\uc900 \uc624\ucc28\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95 - Statorials<\/title>\n<meta name=\"description\" content=\"Python\uc5d0\uc11c \ud3c9\uade0\uc758 \ud45c\uc900 \uc624\ucc28\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95\uc744 \uc608\uc640 \ud568\uaed8 \uac04\ub2e8\ud558\uac8c \uc124\uba85\ud569\ub2c8\ub2e4.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, 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