{"id":480,"date":"2023-07-29T18:29:23","date_gmt":"2023-07-29T18:29:23","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%89%e1%85%a1%e1%84%92%e1%85%ae-anova-%e1%84%90%e1%85%a6%e1%84%89%e1%85%b3%e1%84%90%e1%85%b3\/"},"modified":"2023-07-29T18:29:23","modified_gmt":"2023-07-29T18:29:23","slug":"%e1%84%89%e1%85%a1%e1%84%92%e1%85%ae-anova-%e1%84%90%e1%85%a6%e1%84%89%e1%85%b3%e1%84%90%e1%85%b3","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/%e1%84%89%e1%85%a1%e1%84%92%e1%85%ae-anova-%e1%84%90%e1%85%a6%e1%84%89%e1%85%b3%e1%84%90%e1%85%b3\/","title":{"rendered":"Anova\ub97c \ud1b5\ud55c \uc0ac\ud6c4 \ud14c\uc2a4\ud2b8 \uc0ac\uc6a9 \uac00\uc774\ub4dc"},"content":{"rendered":"

<\/p>\n

\n

ANOVA<\/strong> \ub294 \uc138 \uac1c \uc774\uc0c1\uc758 \ub3c5\ub9bd\uc801\uc778 \uadf8\ub8f9\uc758 \ud3c9\uade0 \uac04\uc5d0 \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758\ubbf8\ud55c \ucc28\uc774\uac00 \uc788\ub294\uc9c0 \uc5ec\ubd80\ub97c \ud655\uc778\ud558\ub294 \ub370 \uc0ac\uc6a9\ub418\ub294 \ud1b5\uacc4 \ud14c\uc2a4\ud2b8\uc785\ub2c8\ub2e4.<\/span><\/p>\n

ANOVA\uc5d0 \uc0ac\uc6a9\ub41c \uac00\uc815\uc740<\/a> \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

\uadc0\ubb34 \uac00\uc124(H 0<\/sub> ): \u00b5 1<\/sub> = \u00b5 2<\/sub> = \u00b5 3<\/sub> = \u2026 = \u00b5 k<\/sub> (\ud3c9\uade0\uc740 \uac01 \uadf8\ub8f9\uc5d0 \ub300\ud574 \ub3d9\uc77c\ud568)<\/span><\/p>\n

\ub300\ub9bd \uac00\uc124: (Ha): \uc801\uc5b4\ub3c4 \ud558\ub098\uc758 \uc218\ub2e8\uc774 \ub2e4\ub978 \uc218\ub2e8\uacfc \ub2e4\ub985\ub2c8\ub2e4.<\/span><\/p>\n

ANOVA\uc758 p-\uac12\uc774<\/a> \uc720\uc758 \uc218\uc900\ubcf4\ub2e4 \ub0ae\uc73c\uba74 \uadc0\ubb34 \uac00\uc124\uc744 \uae30\uac01\ud558\uace0 \uadf8\ub8f9 \ud3c9\uade0 \uc911 \uc801\uc5b4\ub3c4 \ud558\ub098\uac00 \ub2e4\ub978 \ud3c9\uade0\uacfc \ub2e4\ub974\ub2e4\uace0 \ub9d0\ud560 \uc218 \uc788\ub294 \ucda9\ubd84\ud55c \uc99d\uac70\uac00 \uc788\ub2e4\ub294 \uacb0\ub860\uc744 \ub0b4\ub9b4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

\uadf8\ub7ec\ub098 \uc774\ub294 \uc5b4\ub5a4<\/em> \uadf8\ub8f9\uc774 \uc11c\ub85c \ub2e4\ub978\uc9c0\ub294 \uc54c\ub824\uc8fc\uc9c0 \uc54a\uc2b5\ub2c8\ub2e4. \uc774\ub294 \ub2e8\uc21c\ud788 \ubaa8\ub4e0 \uadf8\ub8f9 \ud3c9\uade0\uc774 \ub3d9\uc77c\ud558\uc9c0\ub294 \uc54a\ub2e4\ub294 \uac83\uc744 \uc54c\ub824\uc90d\ub2c8\ub2e4.<\/span><\/p>\n

\uc5b4\ub5a4 \uadf8\ub8f9\uc774 \uc11c\ub85c \ub2e4\ub978\uc9c0 \uc815\ud655\ud788 \uc54c\uae30 \uc704\ud574\uc11c\ub294 \uc0ac\ud6c4 \ud14c\uc2a4\ud2b8<\/strong> (\ub2e4\uc911 \ube44\uad50 \ud14c\uc2a4\ud2b8\ub77c\uace0\ub3c4 \ud568)\ub97c \uc218\ud589\ud574\uc57c \ud569\ub2c8\ub2e4. \uc774\ub97c \ud1b5\ud574 \uc5ec\ub7ec \uadf8\ub8f9\uc758 \ud3c9\uade0 \uac04\uc758 \ucc28\uc774\ub97c \ud0d0\uc0c9\ud558\ub294 \ub3d9\uc2dc\uc5d0 \ud328\ubc00\ub9ac\ub97c \uc81c\uc5b4\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. . \ud569\ub9ac\uc801\uc778 \uc624\ub958\uc728.<\/span><\/p>\n

\n

\uae30\uc220 \ucc38\uace0 \uc0ac\ud56d:<\/strong> ANOVA p-\uac12\uc774 \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758\ud560 \ub54c\ub9cc \uc0ac\ud6c4 \ud14c\uc2a4\ud2b8\ub97c \uc218\ud589\ud574\uc57c \ud55c\ub2e4\ub294 \uc810\uc5d0 \uc720\uc758\ud558\ub294 \uac83\uc774 \uc911\uc694\ud569\ub2c8\ub2e4. p-\uac12\uc774 \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758\ud558\uc9c0 \uc54a\uc73c\uba74 \ubaa8\ub4e0 \uadf8\ub8f9\uc758 \ud3c9\uade0\uc774 \uc11c\ub85c \ub2e4\ub974\uc9c0 \uc54a\uc74c\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4. \ub530\ub77c\uc11c \uc5b4\ub5a4 \uadf8\ub8f9\uc774 \uc11c\ub85c \ub2e4\ub978\uc9c0 \ud655\uc778\ud558\uae30 \uc704\ud574 \uc0ac\ud6c4 \ud14c\uc2a4\ud2b8\ub97c \uc218\ud589\ud560 \ud544\uc694\uac00 \uc5c6\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<\/blockquote>\n

\uacc4\uc5f4 \uc624\ub958\uc728<\/span><\/strong><\/h2>\n

\uc55e\uc11c \uc5b8\uae09\ud588\ub4ef\uc774 \uc0ac\ud6c4 \ud14c\uc2a4\ud2b8\ub97c \ud1b5\ud574 \uc5ec\ub7ec \uadf8\ub8f9\uc758 \ud3c9\uade0 \uac04\uc758 \ucc28\uc774\ub97c \ud14c\uc2a4\ud2b8\ud558\ub294 \ub3d9\uc2dc\uc5d0 \uacc4\uc5f4\ubcc4 \uc624\ub958\uc728<\/strong> \ub3c4 \uc81c\uc5b4\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

\uac00\uc124 \uac80\uc815<\/a> \uc5d0\ub294 \ud56d\uc0c1 \uc81c1\uc885 \uc624\ub958\uc728\uc774 \uc788\ub294\ub370, \uc774\ub294 \uc720\uc758 \uc218\uc900(\uc54c\ud30c)\uc5d0 \uc758\ud574 \uc815\uc758\ub418\uba70 \uc2e4\uc81c\ub85c \ucc38\uc778 \uadc0\ubb34 \uac00\uc124\uc744 \uae30\uac01\ud560 \ud655\ub960\uc744 \uc54c\ub824\uc90d\ub2c8\ub2e4. \uc989, “\uac00\uc591\uc131”\uc744 \uc5bb\uc744 \ud655\ub960, \uc989 \uadf8\ub8f9 \uac04\uc5d0 \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758\ubbf8\ud55c \ucc28\uc774\uac00 \uc788\ub2e4\uace0 \uc8fc\uc7a5\ud558\uc9c0\ub9cc \uc2e4\uc81c\ub85c\ub294 \uadf8\ub807\uc9c0 \uc54a\uc740 \uacbd\uc6b0\uc785\ub2c8\ub2e4.<\/span><\/p>\n

\uac00\uc124 \uac80\uc815\uc744 \uc218\ud589\ud560 \ub54c \uc81c1\uc885 \uc624\ub958\uc728\uc740 \uc720\uc758 \uc218\uc900\uacfc \ub3d9\uc77c\ud558\uba70 \uc77c\ubc18\uc801\uc73c\ub85c 0.01, 0.05 \ub610\ub294 0.10\uc73c\ub85c \uc120\ud0dd\ub429\ub2c8\ub2e4. \uadf8\ub7ec\ub098 \uc5ec\ub7ec \uac00\uc124 \uac80\uc815\uc744 \ud55c \ubc88\uc5d0 \uc2e4\ud589\ud558\uba74 \uac70\uc9d3\uc591\uc131\uc774 \ub098\uc62c \uac00\ub2a5\uc131\uc774 \ub192\uc544\uc9d1\ub2c8\ub2e4.<\/span><\/p>\n

\uc608\ub97c \ub4e4\uc5b4, 20\uba74\uccb4 \uc8fc\uc0ac\uc704\ub97c \uad74\ub9b0\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc8fc\uc0ac\uc704\uac00 “1”\uc774 \ub098\uc62c \ud655\ub960\uc740 5%\uc5d0 \ubd88\uacfc\ud569\ub2c8\ub2e4. \uadf8\ub7ec\ub098 \ud55c \ubc88\uc5d0 \ub450 \uac1c\uc758 \uc8fc\uc0ac\uc704\ub97c \uad74\ub9ac\uba74 \uc8fc\uc0ac\uc704 \uc911 \ud558\ub098\uac00 “1”\uc5d0 \ub098\uc62c \ud655\ub960\uc740 9.75%\ub85c \uc99d\uac00\ud569\ub2c8\ub2e4. \ud55c\ubc88\uc5d0 5\uac1c\uc758 \uc8fc\uc0ac\uc704\ub97c \uad74\ub9ac\uba74 \ud655\ub960\uc740 22.6%\ub85c \ub192\uc544\uc9d1\ub2c8\ub2e4.<\/span><\/p>\n

\uc8fc\uc0ac\uc704\ub97c \ub354 \ub9ce\uc774 \uad74\ub9b4\uc218\ub85d \uc8fc\uc0ac\uc704 \uc911 \ud558\ub098\uac00 “1”\uc5d0 \ub098\uc62c \ud655\ub960\uc774 \ub192\uc544\uc9d1\ub2c8\ub2e4. \ub9c8\ucc2c\uac00\uc9c0\ub85c \uc720\uc758 \uc218\uc900 0.05\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc5ec\ub7ec \uac00\uc124 \uac80\uc815\uc744 \ud55c \ubc88\uc5d0 \uc2e4\ud589\ud558\uba74 \uac70\uc9d3\uc591\uc131\uc774 \ub098\uc62c \ud655\ub960\uc740 0.05 \uc774\uc0c1\uc73c\ub85c \uc99d\uac00\ud569\ub2c8\ub2e4.<\/span><\/p>\n

ANOVA\uc758 \ub2e4\uc911 \ube44\uad50<\/strong><\/span><\/h2>\n

ANOVA\ub97c \uc218\ud589\ud560 \ub54c \uc6b0\ub9ac\ub294 \uc885\uc885 \uc138 \uac1c \uc774\uc0c1\uc758 \uadf8\ub8f9\uc744 \ube44\uad50\ud569\ub2c8\ub2e4. \ub530\ub77c\uc11c \uadf8\ub8f9 \ud3c9\uade0 \uac04\uc758 \ucc28\uc774\ub97c \ud0d0\uc0c9\ud558\uae30 \uc704\ud574 \uc0ac\ud6c4 \ud14c\uc2a4\ud2b8\ub97c \uc218\ud589\ud560 \ub54c \uc5ec\ub7ec \uc30d\ubcc4<\/strong> \ube44\uad50\ub97c \ud0d0\uc0c9\ud558\ub824\uace0 \ud569\ub2c8\ub2e4.<\/span><\/p>\n

\uc608\ub97c \ub4e4\uc5b4, A, B, C, D\ub77c\ub294 4\uac1c\uc758 \uadf8\ub8f9\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc774\ub294 \uc0ac\ud6c4 \ud14c\uc2a4\ud2b8\ub97c \ud1b5\ud574 \uc870\uc0ac\ud558\ub824\ub294 \ucd1d 6\uac1c\uc758 \uc30d\ubcc4 \ube44\uad50\uac00 \uc788\uc74c\uc744 \uc758\ubbf8\ud569\ub2c8\ub2e4.<\/span><\/p>\n

A \u2013 B(A\uadf8\ub8f9 \ud3c9\uade0\uacfc B\uadf8\ub8f9 \ud3c9\uade0\uc758 \ucc28\uc774)<\/span>
\uad50\ub958<\/span>
\ubc1c\ud45c<\/span>
\uae30\uc6d0\uc804<\/span>
\ub9cc\ud654<\/span>
CD<\/span><\/p>\n

\uadf8\ub8f9\uc774 4\uac1c\ubcf4\ub2e4 \ub9ce\uc73c\uba74 \uc218\ud589\ud558\ub824\ub294 \uc30d\ubcc4 \ube44\uad50 \uc218\uac00 \ud6e8\uc52c \ub354 \ub298\uc5b4\ub0a9\ub2c8\ub2e4. \ub2e4\uc74c \ud45c\ub294 \uac01 \uadf8\ub8f9 \uc218\uc640 \uc5f0\uad00\ub41c \uc30d\ubcc4 \ube44\uad50 \uc218\uc640 \ud328\ubc00\ub9ac\ub2f9 \uc624\ub958\uc728\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n

\uadf8\ub8f9\ubcc4 \uc624\ub958\uc728\uc740 \uadf8\ub8f9 \uc218\uac00 \uc99d\uac00\ud568\uc5d0 \ub530\ub77c(\ub530\ub77c\uc11c \uc30d\ubcc4 \ube44\uad50 \uc218\uac00 \uc99d\uac00\ud568\uc5d0 \ub530\ub77c) \uae09\uaca9\ud788 \uc99d\uac00\ud569\ub2c8\ub2e4. \uc2e4\uc81c\ub85c 6\uac1c \uadf8\ub8f9\uc5d0 \ub3c4\ub2ec\ud558\uba74 \uc798\ubabb\ub41c \uae0d\uc815\uc744 \uc5bb\uc744 \ud655\ub960\uc740 \uc2e4\uc81c\ub85c 50%\uac00 \ub118\uc2b5\ub2c8\ub2e4!<\/span><\/p>\n

\uc774\ub294 \uac00\uc871\ubcc4 \uc624\ub958\uc728\uc774 \ub108\ubb34 \ub192\ub2e4\ub294 \uac83\uc744 \uc54c\uba74\uc11c \uc30d\ubcc4 \ube44\uad50\ub97c \ub108\ubb34 \ub9ce\uc774 \uc218\ud589\ud574\uc57c \ud55c\ub2e4\uba74 \uacb0\uacfc\uc5d0 \ub300\ud574 \uc2ec\uac01\ud55c \uc758\uad6c\uc2ec\uc744 \uac16\uac8c \ub420 \uac83\uc784\uc744 \uc758\ubbf8\ud569\ub2c8\ub2e4.<\/span><\/p>\n

\ub2e4\ud589\ud788 \uc0ac\ud6c4 \ud14c\uc2a4\ud2b8\ub97c \ud1b5\ud574 \uc81c\ud488\uad70\ubcc4 \uc624\ub958\uc728\uc744 \uc81c\uc5b4\ud558\uba74\uc11c \uadf8\ub8f9 \uac04 \ub2e4\uc911 \ube44\uad50\ub97c \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

\uc608: \uc0ac\ud6c4 \ud14c\uc2a4\ud2b8\ub97c \ud1b5\ud55c \uc77c\uc6d0 \ubd84\uc0b0 \ubd84\uc11d<\/strong><\/span><\/h2>\n

\ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc0ac\ud6c4 \ud14c\uc2a4\ud2b8\ub97c \ud1b5\ud574 \uc77c\uc6d0 \ubd84\uc0b0 \ubd84\uc11d\uc744<\/a> \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n

\ucc38\uace0:<\/strong> \uc774 \uc608\uc5d0\uc11c\ub294 R \ud504\ub85c\uadf8\ub798\ubc0d \uc5b8\uc5b4\ub97c \uc0ac\uc6a9\ud558\uc9c0\ub9cc \ud14c\uc2a4\ud2b8 \uacb0\uacfc\ub098 \ud575\uc2ec \ub0b4\uc6a9\uc744 \uc774\ud574\ud558\uae30 \uc704\ud574 R\uc744 \uc54c \ud544\uc694\ub294 \uc5c6\uc2b5\ub2c8\ub2e4.<\/em><\/span><\/p>\n

\uba3c\uc800, \uadf8\ub8f9\ub2f9 20\uac1c\uc758 \uad00\uce21\uce58\uac00 \uc788\ub294 4\uac1c\uc758 \uadf8\ub8f9(A, B, C, D)\uc774 \ud3ec\ud568\ub41c \ub370\uc774\ud130 \uc138\ud2b8\ub97c \ub9cc\ub4ed\ub2c8\ub2e4.<\/span><\/p>\n

 #make this example reproducible\nset.seed(1)<\/span>\n\n#load tidyr<\/em> library to convert data from wide to long format<\/span>\nlibrary(tidyr)\n\n#create wide dataset\n<\/span>data <- data.frame(A = runif(20, 2, 5),\n                   B = runif(20, 3, 5),\n                   C = runif(20, 3, 6),\n                   D = runif(20, 4, 6))\n\n#convert to long dataset for ANOVA\n<\/span>data_long <- gather(data, key = \"group\", value = \"amount\", A, B, C, D)\n\n#view first six lines of dataset\n<\/span>head(data_long)\n\n# group amount\n#1 To 2.796526\n#2 A 3.116372\n#3 A 3.718560\n#4 A 4.724623\n#5 A 2.605046\n#6 A 4.695169\n<\/strong><\/pre>\n
 \ub2e4\uc74c\uc73c\ub85c \ub370\uc774\ud130 \uc138\ud2b8\uc5d0 \ub300\ud574 \uc77c\uc6d0 \ubd84\uc0b0 \ubd84\uc11d\uc744 \uc218\ud589\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 #fit anova model\n<\/span>anova_model <- aov(amount ~ group, data = data_long)\n\n#view summary of anova model\n<\/span>summary(anova_model)\n\n# Df Sum Sq Mean Sq F value Pr(>F)    \n#group 3 25.37 8.458 17.66 8.53e-09 ***\n#Residuals 76 36.39 0.479            \n<\/strong><\/pre>\n
 ANOVA \ud14c\uc774\ube14 \uacb0\uacfc\uc5d0\uc11c F \ud1b5\uacc4\ub294 17.66\uc774\uace0 \ud574\ub2f9 p-\uac12\uc740 \ub9e4\uc6b0 \uc791\ub2e4\ub294 \uac83\uc744 \uc54c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \uc774\ub294 \ubaa8\ub4e0 \uadf8\ub8f9 \ud3c9\uade0\uc774 \ub3d9\uc77c\ud558\ub2e4\ub294 \uadc0\ubb34\uac00\uc124\uc744 \uae30\uac01\ud560 \uc218 \uc788\ub294 \ucda9\ubd84\ud55c \uc99d\uac70\uac00 \uc788\uc74c\uc744 \uc758\ubbf8\ud569\ub2c8\ub2e4. \uadf8\ub7f0 \ub2e4\uc74c \uc0ac\ud6c4 \ud14c\uc2a4\ud2b8\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc5b4\ub5a4 \uadf8\ub8f9 \ud3c9\uade0\uc774 \uc11c\ub85c \ub2e4\ub978\uc9c0 \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \ub2e4\uc74c \uc0ac\ud6c4 \ud14c\uc2a4\ud2b8\uc758 \uc608\ub97c \uac80\ud1a0\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 Tukey \ud14c\uc2a4\ud2b8<\/strong> \u2013 \uac00\ub2a5\ud55c \ubaa8\ub4e0 \uc30d\ubcc4 \ube44\uad50\ub97c \uc218\ud589\ud558\ub824\ub294 \uacbd\uc6b0 \uc720\uc6a9\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 Holm\uc758 \ubc29\ubc95<\/strong> \u2013 Tukey \ud14c\uc2a4\ud2b8\ubcf4\ub2e4 \uc57d\uac04 \ub354 \ubcf4\uc218\uc801\uc778 \ud14c\uc2a4\ud2b8<\/span><\/p>\n
 Dunnett\uc758 \uc218\uc815<\/strong><\/a> \u2013 \uac01 \uadf8\ub8f9\uc758 \ud3c9\uade0\uc744 \uad00\ub9ac \ud3c9\uade0\uacfc \ube44\uad50\ud558\uace0 \ucc98\ub9ac \ud3c9\uade0\uc744 \uc11c\ub85c \ube44\uad50\ud558\uace0 \uc2f6\uc9c0 \uc54a\uc744 \ub54c \uc720\uc6a9\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \ud130\ud0a4 \ud14c\uc2a4\ud2b8<\/strong><\/span><\/h2>\n
 \ub2e4\uc74c\uacfc \uac19\uc774 \ub0b4\uc7a5 R \ud568\uc218 TukeyHSD()\ub97c<\/strong> \uc0ac\uc6a9\ud558\uc5ec \ub2e4\uc911 \ube44\uad50\ub97c \uc704\ud55c Tukey \ud14c\uc2a4\ud2b8\ub97c \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 #perform Tukey's Test for multiple comparisons\n<\/span>TukeyHSD(anova_model, conf.level=.95) \n\n#Tukey multiple comparisons of means\n# 95% family-wise confidence level\n#\n#Fit: aov(formula = amount ~ group, data = data_long)\n#\n#$group\n# diff lwr upr p adj\n#BA 0.2822630 -0.292540425 0.8570664 0.5721402\n#CA 0.8561388 0.281335427 1.4309423 0.0011117\n#DA 1.4676027 0.892799258 2.0424061 0.0000000\n#CB 0.5738759 -0.000927561 1.1486793 0.0505270\n#DB 1.1853397 0.610536271 1.7601431 0.0000041\n#DC 0.6114638 0.036660419 1.1862672 0.0326371\n<\/strong><\/pre>\n
 \uc2e0\ub8b0 \uc218\uc900\uc744 95%\ub85c \uc9c0\uc815\ud588\ub294\ub370, \uc774\ub294 \ud328\ubc00\ub9ac\ub2f9 \uc624\ub958\uc728\uc774 0.05\uac00 \ub418\uae30\ub97c \uc6d0\ud55c\ub2e4\ub294 \uc758\ubbf8\uc785\ub2c8\ub2e4. R\uc740 \uac01 \uc30d\ubcc4 \ucc28\uc774\ub97c \ube44\uad50\ud560 \uc218 \uc788\ub294 \ub450 \uac00\uc9c0 \uce21\uc815\ud56d\ubaa9\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/span><\/p>\n
    \n
  •  \ud3c9\uade0 \ucc28\uc774\uc5d0 \ub300\ud55c \uc2e0\ub8b0 \uad6c\uac04( lwr<\/em> \ubc0f upr<\/em> \uac12\uc73c\ub85c \uc81c\uacf5)<\/span><\/li>\n
  •  \ud3c9\uade0 \ucc28\uc774\uc5d0 \ub300\ud574 \uc870\uc815\ub41c p-\uac12<\/span><\/li>\n<\/ul>\n
     \uc2e0\ub8b0 \uad6c\uac04\uacfc p-\uac12\uc740 \ub3d9\uc77c\ud55c \uacb0\ub860\uc744 \ub3c4\ucd9c\ud569\ub2c8\ub2e4.<\/span><\/p>\n
     \uc608\ub97c \ub4e4\uc5b4 \uadf8\ub8f9 C\uc640 \uadf8\ub8f9 A\uc758 \ud3c9\uade0 \ucc28\uc774\uc5d0 \ub300\ud55c 95% \uc2e0\ub8b0 \uad6c\uac04\uc740 (0.2813, 1.4309)\uc774\uba70, \uc774 \uad6c\uac04\uc5d0\ub294 0\uc774 \ud3ec\ud568\ub418\uc5b4 \uc788\uc9c0 \uc54a\uc73c\ubbc0\ub85c \ub450 \uadf8\ub8f9\uc758 \ud3c9\uade0 \ucc28\uc774\uac00 \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758\ud558\ub2e4\ub294 \uac83\uc744 \uc54c \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ud2b9\ud788 \uc2e0\ub8b0 \uad6c\uac04\uc758 \ud558\ud55c\uc774 0\ubcf4\ub2e4 \ud06c\uae30 \ub54c\ubb38\uc5d0 \ucc28\uc774\uac00 \uc591\uc218\ub77c\ub294 \uac83\uc744 \uc54c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
     \ub9c8\ucc2c\uac00\uc9c0\ub85c, \uadf8\ub8f9 C\uc640 \uadf8\ub8f9 A\uc758 \ud3c9\uade0 \ucc28\uc774\uc5d0 \ub300\ud55c p-\uac12\uc740 0.0011\ub85c, \uc720\uc758 \uc218\uc900 0.05\ubcf4\ub2e4 \ub0ae\uc73c\uba70, \uc774\ub294 \ub450 \uadf8\ub8f9\uc758 \ud3c9\uade0 \ucc28\uc774\uac00 \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758\ud558\ub2e4\ub294 \uac83\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/span><\/p>\n
     \ub610\ud55c R\uc758 plot()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec Tukey \ud14c\uc2a4\ud2b8\uc758 \uacb0\uacfc\uc778 95% \uc2e0\ub8b0 \uad6c\uac04\uc744 \uc2dc\uac01\ud654\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
     plot(TukeyHSD(anova_model, conf.level=.95))\n<\/strong><\/pre>\n
     \uac04\uaca9\uc5d0 0\uc774 \ud3ec\ud568\ub418\uc5b4 \uc788\uc73c\uba74 \uadf8\ub8f9 \ud3c9\uade0 \uac04\uc758 \ucc28\uc774\uac00 \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758\ud558\uc9c0 \uc54a\ub2e4\ub294 \uac83\uc744 \uc54c \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc704 \uc608\uc5d0\uc11c BA\uc640 CB\uc758 \ucc28\uc774\ub294 \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758\ud558\uc9c0 \uc54a\uc9c0\ub9cc \ub2e4\ub978 \ub124 \uac00\uc9c0 \uc30d\ubcc4 \ube44\uad50\uc758 \ucc28\uc774\ub294 \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758\ud569\ub2c8\ub2e4.<\/span><\/p>\n
     \ud640\ub984\uc758 \ubc29\ubc95<\/strong><\/span><\/h2>\n
     \uc6b0\ub9ac\uac00 \uc218\ud589\ud560 \uc218 \uc788\ub294 \ub610 \ub2e4\ub978 \uc0ac\ud6c4 \ud14c\uc2a4\ud2b8\ub294 Holm\uc758 \ubc29\ubc95\uc785\ub2c8\ub2e4. \uc774 \ud14c\uc2a4\ud2b8\ub294 \uc77c\ubc18\uc801\uc73c\ub85c Tukey \ud14c\uc2a4\ud2b8\ubcf4\ub2e4 \ub354 \ubcf4\uc218\uc801\uc778 \uac83\uc73c\ub85c \uac04\uc8fc\ub429\ub2c8\ub2e4.<\/span><\/p>\n
     R\uc5d0\uc11c \ub2e4\uc74c \ucf54\ub4dc\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub2e4\uc911 \uc30d\ubcc4 \ube44\uad50\ub97c \uc704\ud574 Holm\uc758 \ubc29\ubc95\uc744 \uc2e4\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
     #perform holm's method for multiple comparisons<\/span>\npairwise.t.test(data_long$amount, data_long$group, p.adjust=\"holm\") \n# Pairwise comparisons using t tests with pooled SD \n#\n#data: data_long$amount and data_long$group \n#\n#ABC\n#B 0.20099 - -      \n#C 0.00079 0.02108 -      \n#D 1.9e-08 3.4e-06 0.01974\n#\n#P value adjustment method: holm<\/strong><\/pre>\n
     \uc774 \ud14c\uc2a4\ud2b8\ub294 \uac01 \uc30d\ubcc4 \ube44\uad50\uc5d0 \ub300\ud55c p-\uac12 \uadf8\ub9ac\ub4dc\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \uadf8\ub8f9 A\uc640 \uadf8\ub8f9 B\uc758 \ud3c9\uade0 \ucc28\uc774\uc5d0 \ub300\ud55c p-\uac12\uc740 0.20099\uc785\ub2c8\ub2e4.<\/span><\/p>\n
     \uc774 \uac80\uc815\uc758 p-\uac12\uc744 Tukey \uac80\uc815\uc758 p-\uac12\uacfc \ube44\uad50\ud558\uba74 \uadf8\ub8f9 C\uc640 D \uac04\uc758 \ucc28\uc774\ub97c \uc81c\uc678\ud558\uba74 \uac01\uac01\uc758 \uc30d\ubcc4 \ube44\uad50\uac00 \ub3d9\uc77c\ud55c \uacb0\ub860\uc5d0 \ub3c4\ub2ec\ud55c\ub2e4\ub294 \uac83\uc744 \uc54c \uc218 \uc788\uc2b5\ub2c8\ub2e4. – \uc774 \ucc28\uc774\uc5d0 \ub300\ud55c \uac12\uc740 Holm \ubc29\ubc95\uc758 0.02108\uacfc \ube44\uad50\ud558\uc5ec Tukey \ud14c\uc2a4\ud2b8\uc5d0\uc11c\ub294 0.0505\uc600\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
     \ub530\ub77c\uc11c Tukey \uac80\uc815\uc744 \uc774\uc6a9\ud558\uba74 \uc720\uc758\uc218\uc900 0.05\uc5d0\uc11c \uadf8\ub8f9 C\uc640 \uadf8\ub8f9 D\uc758 \ucc28\uc774\uac00 \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758\ud558\uc9c0 \uc54a\ub2e4\ub294 \uacb0\ub860\uc744 \uc5bb\uc5c8\uc73c\ub098, Holm\uc758 \ubc29\ubc95\uc744 \uc774\uc6a9\ud558\uba74 \uadf8\ub8f9 C\uc640 \uadf8\ub8f9 D\uc758 \ucc28\uc774\uac00 \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758 \ud558\ub2e4\ub294<\/em> \uacb0\ub860\uc744 \ub0b4\ub838\ub2e4.<\/span><\/p>\n
     \uc77c\ubc18\uc801\uc73c\ub85c Holm\uc758 \ubc29\ubc95\uc73c\ub85c \uc0dd\uc131\ub41c p-\uac12\uc740 Tukey \ud14c\uc2a4\ud2b8\ub85c \uc0dd\uc131\ub41c \uac12\ubcf4\ub2e4 \ub0ae\uc740 \uacbd\ud5a5\uc774 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
     Dunnett\uc758 \uc218\uc815<\/strong><\/span><\/h2>\n
     \ub2e4\uc911 \ube44\uad50\uc5d0 \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294 \ub610 \ub2e4\ub978 \ubc29\ubc95\uc740 Dunett \ubcf4\uc815\uc785\ub2c8\ub2e4. \uac01 \uadf8\ub8f9\uc758 \ud3c9\uade0\uc744 \uc81c\uc5b4 \ud3c9\uade0\uacfc \ube44\uad50\ud558\uace0 \ucc98\ub9ac \ud3c9\uade0\uc744 \uc11c\ub85c \ube44\uad50\ud558\uace0 \uc2f6\uc9c0 \uc54a\uc744 \ub54c \uc774 \uc811\uadfc \ubc29\uc2dd\uc744 \uc0ac\uc6a9\ud569\ub2c8\ub2e4.<\/span><\/p>\n
     \uc608\ub97c \ub4e4\uc5b4 \uc544\ub798 \ucf54\ub4dc\ub97c \uc0ac\uc6a9\ud558\uc5ec B, C, D\uc758 \uadf8\ub8f9 \ud3c9\uade0\uc744 \uadf8\ub8f9 A\uc758 \uadf8\ub8f9 \ud3c9\uade0\uacfc \ube44\uad50\ud569\ub2c8\ub2e4. \ub530\ub77c\uc11c \uadf8\ub8f9 A\ub97c \uc81c\uc5b4 \uadf8\ub8f9\uc73c\ub85c \uc0ac\uc6a9\ud558\uace0 \uadf8\ub8f9 B, C \uac04\uc758 \ucc28\uc774\uc5d0\ub294 \uad00\uc2ec\uc774 \uc5c6\uc2b5\ub2c8\ub2e4. ., \uadf8\ub9ac\uace0 D.<\/span><\/p>\n
     #load multcomp library necessary for using Dunnett's Correction<\/span>\nlibrary(multicomp)\n\n#convert group variable to factor \n<\/span>data_long$group <- as.factor(data_long$group)\n\n#fit anova model\n<\/span>anova_model <- aov(amount ~ group, data = data_long)\n\n#performcomparisons\n<\/span>dunnet_comparison <- glht(anova_model, linfct = mcp(group = \"Dunnett\"))\n\n#view summary of comparisons\n<\/span>summary(dunnet_comparison)\n\n#Multiple Comparisons of Means: Dunnett Contrasts\n#\n#Fit: aov(formula = amount ~ group, data = data_long)\n#\n#Linear Assumptions:\n#Estimate Std. Error t value Pr(>|t|)    \n#B - A == 0 0.2823 0.2188 1.290 0.432445    \n#C - A == 0 0.8561 0.2188 3.912 0.000545 ***\n#D - A == 0 1.4676 0.2188 6.707 < 1e-04 ***<\/strong><\/pre>\n
     \ucd9c\ub825\uc758 p-\uac12\uc5d0\uc11c \ub2e4\uc74c\uc744 \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
      \n
    •  \uadf8\ub8f9 B\uc758 \ud3c9\uade0\uacfc \uadf8\ub8f9 A\uc758 \ud3c9\uade0 \ucc28\uc774\ub294 \uc720\uc758\uc218\uc900 0.05\uc5d0\uc11c\ub294 \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758 \ud558\uc9c0 \uc54a\uc2b5\ub2c8\ub2e4<\/em> . \uc774 \uac80\uc815\uc758 p-\uac12\uc740 0.4324<\/strong> \uc785\ub2c8\ub2e4.<\/span><\/li>\n
    •  \uadf8\ub8f9 C\uc640 \uadf8\ub8f9 A\uc758 \ud3c9\uade0 \ucc28\uc774\ub294 \uc720\uc758\uc218\uc900 0.05\uc5d0\uc11c \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758 \ud569\ub2c8\ub2e4<\/em> . \uc774 \uac80\uc815\uc758 p-\uac12\uc740 0.0005<\/strong> \uc785\ub2c8\ub2e4.<\/span><\/li>\n
    •  \uadf8\ub8f9 D\uc640 \uadf8\ub8f9 A\uc758 \ud3c9\uade0 \ucc28\uc774\ub294 \uc720\uc758\uc218\uc900 0.05\uc5d0\uc11c \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758 \ud569\ub2c8\ub2e4<\/em> . \uc774 \uac80\uc815\uc758 p-\uac12\uc740 0.00004<\/strong> \uc785\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n
       \uc774\uc804\uc5d0 \uc5b8\uae09\ud55c \ubc14\uc640 \uac19\uc774 \uc774 \uc811\uadfc \ubc29\uc2dd\uc740 \uadf8\ub8f9 A\ub97c “\ub300\uc870\uad70”\uc73c\ub85c \ucde8\uae09\ud558\uace0 \ub2e4\ub978 \ubaa8\ub4e0 \uadf8\ub8f9\uc758 \ud3c9\uade0\uc744 \uadf8\ub8f9 A\uc758 \ud3c9\uade0\uacfc \ube44\uad50\ud569\ub2c8\ub2e4. \uadf8\ub8f9 B, C, D \uac04\uc758 \ucc28\uc774\uc5d0 \ub300\ud55c \ud14c\uc2a4\ud2b8\ub294 \uc218\ud589\ub418\uc9c0 \uc54a\uc2b5\ub2c8\ub2e4. \ud558\uc9c0 \ub9c8\uc138\uc694. \ub098\ub294 \uc774 \uadf8\ub8f9\ub4e4 \uc0ac\uc774\uc758 \ucc28\uc774\uc810\uc5d0 \uad00\uc2ec\uc774 \uc5c6\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
       \uc0ac\ud6c4 \ud14c\uc2a4\ud2b8 \ubc0f \ud1b5\uacc4 \ub2a5\ub825\uc5d0 \ub300\ud55c \ucc38\uace0 \uc0ac\ud56d<\/span><\/strong><\/h2>\n
       \uc0ac\ud6c4 \ud14c\uc2a4\ud2b8\ub294 \uac00\uc871\ubcc4 \uc624\ub958\uc728\uc744 \ud6a8\uacfc\uc801\uc73c\ub85c \uc81c\uc5b4\ud558\uc9c0\ub9cc \ube44\uad50\uc758 \ud1b5\uacc4\uc801 \uac80\uc815\ub825\uc774 \uac10\uc18c\ud55c\ub2e4\ub294 \ub2e8\uc810\uc774 \uc788\uc2b5\ub2c8\ub2e4. \uc2e4\uc81c\ub85c \uac00\uc871\ubcc4 \uc624\ub958\uc728\uc744 \uc904\uc774\ub294 \uc720\uc77c\ud55c \ubc29\ubc95\uc740 \ubaa8\ub4e0 \uac1c\ubcc4 \ube44\uad50\uc5d0 \ub300\ud574 \ub354 \ub0ae\uc740 \uc720\uc758 \uc218\uc900\uc744 \uc0ac\uc6a9\ud558\ub294 \uac83\uc785\ub2c8\ub2e4.<\/span><\/p>\n
       \uc608\ub97c \ub4e4\uc5b4, 6\uac1c\uc758 \uc30d\ubcc4 \ube44\uad50\uc5d0 Tukey \uac80\uc815\uc744 \uc0ac\uc6a9\ud558\uace0 \uac00\uc871\ubcc4 \uc624\ub958\uc728\uc744 0.05\ub85c \uc720\uc9c0\ud558\ub824\uba74 \uac01 \uac1c\ubcc4 \uc720\uc758 \uc218\uc900\uc5d0 \ub300\ud574 \uc57d 0.011\uc758 \uc720\uc758 \uc218\uc900\uc744 \uc0ac\uc6a9\ud574\uc57c \ud569\ub2c8\ub2e4. \uc30d\ubcc4 \ube44\uad50\ub97c \ub9ce\uc774 \ud560\uc218\ub85d \uac01 \uac1c\ubcc4 \uc720\uc758 \uc218\uc900\uc5d0 \uc0ac\uc6a9\ud574\uc57c \ud558\ub294 \uc720\uc758 \uc218\uc900\uc774 \ub0ae\uc544\uc9d1\ub2c8\ub2e4.<\/span><\/p>\n
       \ubb38\uc81c\ub294 \uc720\uc758 \uc218\uc900\uc774 \ub0ae\uc744\uc218\ub85d \ud1b5\uacc4\uc801 \uac80\uc815\ub825\uc774 \ub0ae\ub2e4\ub294 \uac83\uc785\ub2c8\ub2e4. \uc774\ub294 \uc9d1\ub2e8 \ud3c9\uade0 \uac04\uc758 \ucc28\uc774\uac00 \uc2e4\uc81c\ub85c \ubaa8\uc9d1\ub2e8\uc5d0 \uc874\uc7ac\ud558\ub294 \uacbd\uc6b0, \ub35c \uac15\ub825\ud55c \uc5f0\uad6c\uc5d0\uc11c\ub294 \uc774\ub97c \ubc1c\uacac\ud560 \uac00\ub2a5\uc131\uc774 \uc801\ub2e4\ub294 \uac83\uc744 \uc758\ubbf8\ud569\ub2c8\ub2e4.<\/span><\/p>\n
       \uc774\ub7ec\ud55c \uc808\ucda9 \ud6a8\uacfc\ub97c \uc904\uc774\ub294 \ud55c \uac00\uc9c0 \ubc29\ubc95\uc740 \uc218\ud589\ud558\ub294 \uc30d\ubcc4 \ube44\uad50 \ud69f\uc218\ub97c \uc904\uc774\ub294 \uac83\uc785\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \uc774\uc804 \uc608\uc5d0\uc11c\ub294 4\uac1c\uc758 \uc11c\ub85c \ub2e4\ub978 \uadf8\ub8f9\uc5d0 \ub300\ud574 6\uac1c\uc758 \uc30d\ubcc4 \ube44\uad50\ub97c \uc218\ud589\ud588\uc2b5\ub2c8\ub2e4. \uadf8\ub7ec\ub098 \uc5f0\uad6c\uc758 \ud544\uc694\uc5d0 \ub530\ub77c \uba87 \uac00\uc9c0 \ube44\uad50\ub9cc \ud558\uace0 \uc2f6\uc744 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
       \ube44\uad50 \ud69f\uc218\ub97c \uc904\uc774\uba74 \ud1b5\uacc4\uc801 \uac80\uc815\ub825\uc744 \ud06c\uac8c \uc904\uc77c \ud544\uc694\uac00 \uc5c6\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
       ANOVA\ub97c \uc218\ud589\ud558\uae30 \uc804\uc5d0<\/em> \ube44\uad50\ud558\ub824\ub294 \uadf8\ub8f9\uacfc \uc774\ub7ec\ud55c \ube44\uad50\uc5d0 \uc0ac\uc6a9\ud560 \uc0ac\ud6c4 \ud14c\uc2a4\ud2b8\ub97c \uc815\ud655\ud788 \uacb0\uc815\ud574\uc57c \ud55c\ub2e4\ub294 \uc810\uc5d0 \uc720\uc758\ud558\ub294 \uac83\uc774 \uc911\uc694\ud569\ub2c8\ub2e4. \uadf8\ub807\uc9c0 \uc54a\uace0 \uc5b4\ub5a4 \uc0ac\ud6c4 \ud14c\uc2a4\ud2b8\uac00 \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758\ubbf8\ud55c \uacb0\uacfc\ub97c \uc0dd\uc131\ud558\ub294\uc9c0 \ub2e8\uc21c\ud788 \ud655\uc778\ud558\uba74 \uc5f0\uad6c\uc758 \ubb34\uacb0\uc131\uc774 \uc800\ud558\ub429\ub2c8\ub2e4.<\/span><\/p>\n
       \uacb0\ub860<\/strong><\/span><\/h2>\n
       \uc774 \uae30\uc0ac\uc5d0\uc11c \uc6b0\ub9ac\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \ub0b4\uc6a9\uc744 \ubc30\uc6e0\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
        \n
      •  ANOVA\ub294 \uc138 \uac1c \uc774\uc0c1\uc758 \ub3c5\ub9bd\uc801\uc778 \uadf8\ub8f9\uc758 \ud3c9\uade0 \uac04\uc5d0 \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758\ubbf8\ud55c \ucc28\uc774\uac00 \uc788\ub294\uc9c0 \uc5ec\ubd80\ub97c \ud655\uc778\ud558\ub294 \ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/span><\/li>\n
      •  ANOVA\uac00 \uc720\uc758 \uc218\uc900\ubcf4\ub2e4 \ub0ae\uc740 p-\uac12\uc744 \uc0dd\uc131\ud558\ub294 \uacbd\uc6b0 \uc0ac\ud6c4 \ud14c\uc2a4\ud2b8\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc5b4\ub5a4 \uadf8\ub8f9 \ud3c9\uade0\uc774 \uc11c\ub85c \ub2e4\ub978\uc9c0 \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n
      •  \uc0ac\ud6c4 \ud14c\uc2a4\ud2b8\ub97c \ud1b5\ud574 \uc5ec\ub7ec \uc30d\ubcc4 \ube44\uad50\ub97c \uc218\ud589\ud558\uba74\uc11c \ud328\ubc00\ub9ac\ub2f9 \uc624\ub958\uc728\uc744 \uc81c\uc5b4\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n
      •  \uacc4\uc5f4\ubcc4 \uc624\ub958\uc728\uc744 \uc81c\uc5b4\ud558\ub294 \uac83\uc758 \uade0\ud615\uc740 \ud1b5\uacc4\uc801 \uac80\uc815\ub825\uc774 \ub5a8\uc5b4\uc9d1\ub2c8\ub2e4. \uc30d\ubcc4 \ube44\uad50\ub97c \uc801\uac8c \ud568\uc73c\ub85c\uc368 \ub0ae\uc740 \ud1b5\uacc4\uc801 \uac80\uc815\ub825\uc758 \uc601\ud5a5\uc744 \uc904\uc77c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n
      •  \uba3c\uc800 \uc30d\ubcc4 \ube44\uad50\ub97c \uc218\ud589\ud560 \uadf8\ub8f9\uacfc \uc774\ub97c \uc218\ud589\ud558\ub294 \ub370 \uc0ac\uc6a9\ud560 \uc0ac\ud6c4 \ud14c\uc2a4\ud2b8\ub97c \uacb0\uc815\ud574\uc57c \ud569\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"
        ANOVA \ub294 \uc138 \uac1c \uc774\uc0c1\uc758 \ub3c5\ub9bd\uc801\uc778 \uadf8\ub8f9\uc758 \ud3c9\uade0 \uac04\uc5d0 \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758\ubbf8\ud55c \ucc28\uc774\uac00 \uc788\ub294\uc9c0 \uc5ec\ubd80\ub97c \ud655\uc778\ud558\ub294 \ub370 \uc0ac\uc6a9\ub418\ub294 \ud1b5\uacc4 \ud14c\uc2a4\ud2b8\uc785\ub2c8\ub2e4. ANOVA\uc5d0 \uc0ac\uc6a9\ub41c \uac00\uc815\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4. \uadc0\ubb34 \uac00\uc124(H 0 ): \u00b5 1 = \u00b5 2 = \u00b5 3 = \u2026 = \u00b5 k (\ud3c9\uade0\uc740 \uac01 \uadf8\ub8f9\uc5d0 \ub300\ud574 \ub3d9\uc77c\ud568) \ub300\ub9bd \uac00\uc124: (Ha): \uc801\uc5b4\ub3c4 \ud558\ub098\uc758 \uc218\ub2e8\uc774 \ub2e4\ub978 \uc218\ub2e8\uacfc \ub2e4\ub985\ub2c8\ub2e4. […]<\/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-480","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nANOVA\ub97c \uc0ac\uc6a9\ud55c \uc0ac\ud6c4 \ud14c\uc2a4\ud2b8 \uc0ac\uc6a9 \uac00\uc774\ub4dc - Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 ANOVA\ub97c \uc0ac\uc6a9\ud55c \uc0ac\ud6c4 \ud14c\uc2a4\ud2b8\ub97c \uc0ac\uc6a9\ud558\uc5ec \uadf8\ub8f9 \ud3c9\uade0 \uac04\uc758 \ucc28\uc774\ub97c \ud14c\uc2a4\ud2b8\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\/\u1109\u1161\u1112\u116e-anova-\u1110\u1166\u1109\u1173\u1110\u1173\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"ANOVA\ub97c \uc0ac\uc6a9\ud55c \uc0ac\ud6c4 \ud14c\uc2a4\ud2b8 \uc0ac\uc6a9 \uac00\uc774\ub4dc - 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