{"id":2362,"date":"2023-07-22T14:33:59","date_gmt":"2023-07-22T14:33:59","guid":{"rendered":"https:\/\/statorials.org\/ko\/t-%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab-%e1%84%87%e1%85%a2%e1%84%91%e1%85%a9\/"},"modified":"2023-07-22T14:33:59","modified_gmt":"2023-07-22T14:33:59","slug":"t-%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab-%e1%84%87%e1%85%a2%e1%84%91%e1%85%a9","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/t-%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab-%e1%84%87%e1%85%a2%e1%84%91%e1%85%a9\/","title":{"rendered":"Python\uc5d0\uc11c t \ubd84\ud3ec\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"

<\/p>\n

\n

t \ubd84\ud3ec\ub294 \uc815\uaddc \ubd84\ud3ec\ubcf4\ub2e4 “\uaf2c\ub9ac”\uac00 \ub354 \ud06c\ub2e4\ub294 \uc810\uc744<\/span> \uc81c\uc678<\/strong> \ud558\uba74 \uc815\uaddc \ubd84\ud3ec\uc640 \uc720\uc0ac\ud55c \ud655\ub960 \ubd84\ud3ec\uc785\ub2c8\ub2e4<\/span> .<\/p>\n

\uc989, \uc815\uaddc\ubd84\ud3ec\uc5d0 \ube44\ud574 \ubd84\ud3ec\uc758 \uac12\uc774 \uc911\uc559\ubcf4\ub2e4 \uc591\ub05d\uc5d0 \ub354 \ub9ce\uc774 \uc704\uce58\ud569\ub2c8\ub2e4.<\/span> <\/p>\n

\"\uc815\uaddc<\/p>\n

\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc5d0\uc11c t \ubd84\ud3ec\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n

\uc0dd\uc131\ud558\uc5ec \ubc30\ud3ec\ud558\ub294 \ubc29\ubc95<\/strong><\/h3>\n

t.rvs(df, size)<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud2b9\uc815 \uc790\uc720\ub3c4\uc640 \ud45c\ubcf8 \ud06c\uae30\ub97c \uac00\uc9c4 \ubd84\ud3ec\uc5d0\uc11c \uc784\uc758\uc758 \uac12\uc744 \uc0dd\uc131\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

 from<\/span> scipy. stats<\/span> import<\/span> t\n\n#generate random values from t distribution with df=6 and sample size=10<\/span>\nt. rvs<\/span> (df= 6<\/span> , size= 10<\/span> )\n\narray([-3.95799716, -0.01099963, -0.55953846, -1.53420055, -1.41775611,\n       -0.45384974, -0.2767931, -0.40177789, -0.3602592, 0.38262431])\n<\/strong><\/pre>\n
 \uacb0\uacfc\ub294 \uc790\uc720\ub3c4\uac00 6\uc778 \ubd84\ud3ec\uc5d0 \ub530\ub77c \uc11c\ub85c \uc774\uc5b4\uc9c0\ub294 10\uac1c\uc758 \uac12\uc73c\ub85c \uad6c\uc131\ub41c \ud14c\uc774\ube14\uc785\ub2c8\ub2e4.<\/span><\/p>\n
 t \ubd84\ud3ec\ub97c \uc0ac\uc6a9\ud558\uc5ec P \uac12\uc744 \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95<\/strong><\/h3>\n
 t.cdf(x, df, loc=0, scale=1)<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec t-\uac80\uc815 \ud1b5\uacc4\uc640 \uad00\ub828\ub41c p-\uac12\uc744 \ucc3e\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608 1: \ub2e8\uce21 P-\uac12 \ucc3e\uae30<\/strong><\/span><\/p>\n
 \ub2e8\uce21 \uac00\uc124 \uac80\uc815\uc744<\/a> \uc218\ud589\ud558\uace0 -1.5<\/strong> \uc758 \uac80\uc815 \ud1b5\uacc4\ub7c9\uacfc \uc790\uc720\ub3c4 = 10<\/strong> \uc744 \uc5bb\uc5c8\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc774 \uac80\uc815 \ud1b5\uacc4\ub7c9\uc5d0 \ud574\ub2f9\ud558\ub294 p-\uac12\uc744 \uacc4\uc0b0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 from<\/span> scipy. stats<\/span> import<\/span> t\n\n#calculate p-value<\/span>\nt. cdf<\/span> (x=-1.5, df=10)\n\n0.08225366322272008\n<\/strong><\/pre>\n
 \uc790\uc720\ub3c4\uac00 10\uc778 \uac80\uc815 \ud1b5\uacc4\ub7c9 -1.5\uc5d0 \ud574\ub2f9\ud558\ub294 \ub2e8\uce21 p-\uac12\uc740 0.0822<\/strong> \uc785\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608 2: \uc591\ubc29\ud5a5 P-\uac12 \ucc3e\uae30<\/strong><\/span><\/p>\n
 \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc774 \uac80\uc815 \ud1b5\uacc4\ub7c9\uc5d0 \ud574\ub2f9\ud558\ub294 p-\uac12\uc744 \uacc4\uc0b0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 from<\/span> scipy. stats<\/span> import<\/span> t\n\n#calculate p-value<\/span>\n(1 - t. cdf<\/span> (x=2.14, df=20)) *<\/span> 2\n\n0.04486555082549959\n<\/strong><\/pre>\n
 \uc790\uc720\ub3c4\uac00 20\uc778 \uac80\uc815 \ud1b5\uacc4\ub7c9 2.14\uc5d0 \ud574\ub2f9\ud558\ub294 \uc591\uce21 p-\uac12\uc740 0.0448<\/strong> \uc785\ub2c8\ub2e4.<\/span><\/p>\n
 \ucc38\uace0<\/strong> : \uc5ed t \ubd84\ud3ec \uacc4\uc0b0\uae30\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc774\ub7ec\ud55c \ub2f5\ubcc0\uc744 \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \uc720\ud1b5\uae4c\uc9c0 \ucd94\uc801\ud558\ub294 \ubc29\ubc95<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \ud2b9\uc815 \uc790\uc720\ub3c4\ub85c \ubd84\ud3ec\ub97c \uadf8\ub9b4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n
 from<\/span> scipy. stats<\/span> import<\/span> t\nimport<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#generate t distribution with sample size 10000<\/span>\nx = t. rvs<\/span> (df= 12<\/span> , size= 10000<\/span> )\n\n#create plot of t distribution\n<\/span>plt. hist<\/span> (x, density= True<\/span> , edgecolor=' black<\/span> ', bins= 20<\/span> )\n<\/strong><\/pre>\n
\"Python\uc758<\/p>\n
 import<\/span> seaborn as<\/span> sns\n\n#create density curve<\/span>\nsns. kdeplot<\/span> (x)\n<\/strong><\/pre>\n
\"Python\uc5d0\uc11c<\/p>\n
 \ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \ubc30\ud3ec\uc5d0 \ub300\ud55c \ucd94\uac00 \uc815\ubcf4\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \uc815\uaddc \ubd84\ud3ec\uc640 t \ubd84\ud3ec: \ucc28\uc774\uc810\uc740 \ubb34\uc5c7\uc778\uac00\uc694?<\/a>
 \uc5ed t \ubd84\ud3ec \uacc4\uc0b0\uae30<\/p>\n","protected":false},"excerpt":{"rendered":"
t \ubd84\ud3ec\ub294 \uc815\uaddc \ubd84\ud3ec\ubcf4\ub2e4 “\uaf2c\ub9ac”\uac00 \ub354 \ud06c\ub2e4\ub294 \uc810\uc744 \uc81c\uc678 \ud558\uba74 \uc815\uaddc \ubd84\ud3ec\uc640 \uc720\uc0ac\ud55c \ud655\ub960 \ubd84\ud3ec\uc785\ub2c8\ub2e4 . \uc989, \uc815\uaddc\ubd84\ud3ec\uc5d0 \ube44\ud574 \ubd84\ud3ec\uc758 \uac12\uc774 \uc911\uc559\ubcf4\ub2e4 \uc591\ub05d\uc5d0 \ub354 \ub9ce\uc774 \uc704\uce58\ud569\ub2c8\ub2e4. \uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc5d0\uc11c t \ubd84\ud3ec\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4. \uc0dd\uc131\ud558\uc5ec \ubc30\ud3ec\ud558\ub294 \ubc29\ubc95 t.rvs(df, size) \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud2b9\uc815 \uc790\uc720\ub3c4\uc640 \ud45c\ubcf8 \ud06c\uae30\ub97c \uac00\uc9c4 \ubd84\ud3ec\uc5d0\uc11c \uc784\uc758\uc758 \uac12\uc744 \uc0dd\uc131\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. from scipy. stats […]<\/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-2362","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nPython\uc5d0\uc11c t \ubd84\ud3ec\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95 - \ud1b5\uacc4\ud559<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uba87 \uac00\uc9c0 \uc608\ub97c \ud1b5\ud574 Python\uc5d0\uc11c t \ubd84\ud3ec\ub97c \uc0ac\uc6a9\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\/t-\u1111\u1161\u110b\u1175\u110a\u1165\u11ab-\u1107\u1162\u1111\u1169\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python\uc5d0\uc11c t \ubd84\ud3ec\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95 - \ud1b5\uacc4\ud559\" \/>\n<meta property=\"og:description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uba87 \uac00\uc9c0 \uc608\ub97c \ud1b5\ud574 Python\uc5d0\uc11c t \ubd84\ud3ec\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ko\/t-\u1111\u1161\u110b\u1175\u110a\u1165\u11ab-\u1107\u1162\u1111\u1169\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-22T14:33:59+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/norm_vs_t2.png\" \/>\n<meta name=\"author\" content=\"\ubca4\uc790\ubbfc \uc564\ub354\uc2a8\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"\ubca4\uc790\ubbfc \uc564\ub354\uc2a8\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1\ubd84\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/ko\/t-%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab-%e1%84%87%e1%85%a2%e1%84%91%e1%85%a9\/\",\"url\":\"https:\/\/statorials.org\/ko\/t-%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab-%e1%84%87%e1%85%a2%e1%84%91%e1%85%a9\/\",\"name\":\"Python\uc5d0\uc11c t \ubd84\ud3ec\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95 - 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 \uc591\uce21 \uac00\uc124 \uac80\uc815\uc744<\/a> \uc218\ud589\ud558\uace0 \uac80\uc815 \ud1b5\uacc4\ub7c9\uc774 2.14<\/strong> \uc774\uace0 \uc790\uc720\ub3c4 = 20<\/strong> \uc774\ub77c\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/span><\/p>\n