{"id":1813,"date":"2023-07-24T21:14:08","date_gmt":"2023-07-24T21:14:08","guid":{"rendered":"https:\/\/statorials.org\/ja\/r-%e3%81%a6%e3%82%99%e3%81%ae%e4%bb%ae%e8%aa%ac%e6%a4%9c%e5%ae%9a\/"},"modified":"2023-07-24T21:14:08","modified_gmt":"2023-07-24T21:14:08","slug":"r-%e3%81%a6%e3%82%99%e3%81%ae%e4%bb%ae%e8%aa%ac%e6%a4%9c%e5%ae%9a","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/r-%e3%81%a6%e3%82%99%e3%81%ae%e4%bb%ae%e8%aa%ac%e6%a4%9c%e5%ae%9a\/","title":{"rendered":"\u5b8c\u5168\u30ac\u30a4\u30c9: r \u3067\u306e\u4eee\u8aac\u30c6\u30b9\u30c8"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><a href=\"https:\/\/statorials.org\/ja\/\u4eee\u8aac\u691c\u8a3c1\/\" target=\"_blank\" rel=\"noopener\">\u4eee\u8aac\u691c\u5b9a\u306f\u3001<\/a>\u7d71\u8a08\u7684\u4eee\u8aac\u3092\u68c4\u5374\u307e\u305f\u306f\u68c4\u5374\u3067\u304d\u306a\u304b\u3063\u305f\u305f\u3081\u306b\u4f7f\u7528\u3059\u308b\u6b63\u5f0f\u306a\u7d71\u8a08\u691c\u5b9a\u3067\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001R \u3067\u6b21\u306e\u4eee\u8aac\u30c6\u30b9\u30c8\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5\u3092\u8aac\u660e\u3057\u307e\u3059\u3002<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">\u30b5\u30f3\u30d7\u30eb t \u691c\u5b9a<\/span><\/li>\n<li><span style=\"color: #000000;\">2 \u30b5\u30f3\u30d7\u30eb\u306e T \u691c\u5b9a<\/span><\/li>\n<li><span style=\"color: #000000;\">\u5bfe\u5fdc\u306e\u3042\u308b\u30b5\u30f3\u30d7\u30eb\u306e t \u691c\u5b9a<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">R \u306e<strong>t.test()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u5404\u30bf\u30a4\u30d7\u306e\u30c6\u30b9\u30c8\u3092\u5b9f\u884c\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#one sample t-test<\/span>\nt. <span style=\"color: #3366ff;\">test<\/span> (x, y = NULL,\n       alternative = c(\" <span style=\"color: #ff0000;\">two.sided<\/span> \", \" <span style=\"color: #ff0000;\">less<\/span> \", \" <span style=\"color: #ff0000;\">greater<\/span> \"),\n       mu = 0, paired = FALSE, var.equal = <span style=\"color: #008000;\">FALSE<\/span> ,\n       conf.level = 0.95, \u2026)<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u91d1\uff1a<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>x\u3001y:<\/strong> 2 \u3064\u306e\u30c7\u30fc\u30bf \u30b5\u30f3\u30d7\u30eb\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>\u4ee3\u66ff:<\/strong>\u30c6\u30b9\u30c8\u306e\u5bfe\u7acb\u4eee\u8aac\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>mu:<\/strong>\u5e73\u5747\u306e\u771f\u306e\u5024\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>\u30da\u30a2\uff1a<\/strong>\u5bfe\u5fdc\u306e\u3042\u308b t \u691c\u5b9a\u3092\u5b9f\u884c\u3059\u308b\u304b\u3069\u3046\u304b\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>var.equal:<\/strong> <a href=\"https:\/\/statorials.org\/ja\/\u7b49\u3057\u3044\u5206\u6563\u307e\u305f\u306f\u4e0d\u7b49\u306a\u5206\u6563\u3092\u6c7a\u5b9a\u3059\u308b\/\" target=\"_blank\" rel=\"noopener\">\u5206\u6563\u304c\u30b5\u30f3\u30d7\u30eb\u9593\u3067\u7b49\u3057\u3044<\/a>\u3068\u4eee\u5b9a\u3059\u308b\u304b\u3069\u3046\u304b\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>conf.level:<\/strong>\u4f7f\u7528\u3059\u308b<a href=\"https:\/\/statorials.org\/ja\/\u4fe1\u983c\u6c34\u6e96\u3068\u4fe1\u983c\u533a\u9593\/\" target=\"_blank\" rel=\"noopener\">\u4fe1\u983c\u30ec\u30d9\u30eb<\/a>\u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u4f8b\u306f\u3001\u3053\u306e\u95a2\u6570\u3092\u5b9f\u969b\u306b\u4f7f\u7528\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b 1: R \u3067\u306e 1 \u30b5\u30f3\u30d7\u30eb\u306e t \u691c\u5b9a<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\"><a href=\"https:\/\/statorials.org\/ja\/\u30b5\u30f3\u30d5\u309a\u30eb-t-\u691c\u5b9a\/\" target=\"_blank\" rel=\"noopener\">1 \u30b5\u30f3\u30d7\u30eb t \u691c\u5b9a\u306f\u3001<\/a>\u6bcd\u96c6\u56e3\u306e\u5e73\u5747\u304c\u7279\u5b9a\u306e\u5024\u306b\u7b49\u3057\u3044\u304b\u3069\u3046\u304b\u3092\u691c\u5b9a\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u305f\u3068\u3048\u3070\u3001\u7279\u5b9a\u306e\u7a2e\u306e\u30ab\u30e1\u306e\u5e73\u5747\u4f53\u91cd\u304c 310 \u30dd\u30f3\u30c9\u3067\u3042\u308b\u304b\u3069\u3046\u304b\u3092\u77e5\u308a\u305f\u3044\u3068\u3057\u307e\u3059\u3002\u79c1\u305f\u3061\u306f\u5916\u306b\u51fa\u3066\u3001\u6b21\u306e\u91cd\u307f\u3092\u6301\u3064\u30ab\u30e1\u306e\u5358\u7d14\u3067\u30e9\u30f3\u30c0\u30e0\u306a\u30b5\u30f3\u30d7\u30eb\u3092\u53ce\u96c6\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u91cd\u91cf<\/strong>\uff1a300\u3001315\u3001320\u3001311\u3001314\u3001309\u3001300\u3001308\u3001305\u3001303\u3001305\u3001301\u3001303<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u3053\u306e t \u691c\u5b9a\u306e\u4f8b\u3092 R \u3067\u5b9f\u884c\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define vector of turtle weights\n<span style=\"color: #000000;\">turtle_weights &lt;- c(300, 315, 320, 311, 314, 309, 300, 308, 305, 303, 305, 301, 303)<\/span>\n\n#perform one sample t-test<\/span>\nt. <span style=\"color: #3366ff;\">test<\/span> (x=turtle_weights,mu=310)\n\n\tOne Sample t-test\n\ndata: turtle_weights\nt = -1.5848, df = 12, p-value = 0.139\nalternative hypothesis: true mean is not equal to 310\n95 percent confidence interval:\n 303.4236 311.0379\nsample estimates:\nmean of x \n 307.2308<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u7d50\u679c\u304b\u3089\u6b21\u306e\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">t \u691c\u5b9a\u7d71\u8a08\u91cf: <strong>-1.5848<\/strong><\/span><\/li>\n<li><span style=\"color: #000000;\">\u81ea\u7531\u5ea6: <strong>12<\/strong><\/span><\/li>\n<li> <span style=\"color: #000000;\">p\u5024: <strong>0.139<\/strong><\/span><\/li>\n<li><span style=\"color: #000000;\">\u771f\u306e\u5e73\u5747\u306b\u5bfe\u3059\u308b 95% \u4fe1\u983c\u533a\u9593: <strong>[303.4236, 311.0379]<\/strong><\/span><\/li>\n<li><span style=\"color: #000000;\">\u30ab\u30e1\u306e\u5e73\u5747\u4f53\u91cd: <strong>307,230<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u691c\u5b9a\u306e p \u5024 (0.139) \u306f 0.05 \u672a\u6e80\u3067\u306f\u306a\u3044\u305f\u3081\u3001\u5e30\u7121\u4eee\u8aac\u3092\u68c4\u5374\u3067\u304d\u307e\u305b\u3093\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u308c\u306f\u3001\u3053\u306e\u30ab\u30e1\u7a2e\u306e\u5e73\u5747\u4f53\u91cd\u304c 310 \u30dd\u30f3\u30c9\u4ee5\u5916\u3067\u3042\u308b\u3068\u8a00\u3048\u308b\u5341\u5206\u306a\u8a3c\u62e0\u304c\u306a\u3044\u3053\u3068\u3092\u610f\u5473\u3057\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b 2: R \u3067\u306e 2 \u30b5\u30f3\u30d7\u30eb\u306e t \u691c\u5b9a<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\"><a href=\"https:\/\/statorials.org\/ja\/2-\u3064\u306e\u30b5\u30f3\u30d5\u309a\u30eb\u3092\u30c6\u30b9\u30c8\u3059\u308b\/\" target=\"_blank\" rel=\"noopener\">2 \u6a19\u672c t \u691c\u5b9a\u306f\u3001<\/a> 2 \u3064\u306e\u6bcd\u96c6\u56e3\u306e\u5e73\u5747\u304c\u7b49\u3057\u3044\u304b\u3069\u3046\u304b\u3092\u691c\u5b9a\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u305f\u3068\u3048\u3070\u30012 \u3064\u306e\u7570\u306a\u308b\u7a2e\u306e\u30ab\u30e1\u306e\u5e73\u5747\u4f53\u91cd\u304c\u7b49\u3057\u3044\u304b\u3069\u3046\u304b\u3092\u77e5\u308a\u305f\u3044\u3068\u3057\u307e\u3059\u3002\u3053\u308c\u3092\u30c6\u30b9\u30c8\u3059\u308b\u305f\u3081\u306b\u3001\u6b21\u306e\u91cd\u307f\u3092\u4f7f\u7528\u3057\u3066\u3001\u5404\u7a2e\u304b\u3089\u5358\u7d14\u3067\u30e9\u30f3\u30c0\u30e0\u306a\u30ab\u30e1\u306e\u30b5\u30f3\u30d7\u30eb\u3092\u53ce\u96c6\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u30b5\u30f3\u30d7\u30eb1<\/strong> \uff1a300\u3001315\u3001320\u3001311\u3001314\u3001309\u3001300\u3001308\u3001305\u3001303\u3001305\u3001301\u3001303<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u30b5\u30f3\u30d7\u30eb2<\/strong> \uff1a335\u3001329\u3001322\u3001321\u3001324\u3001319\u3001304\u3001308\u3001305\u3001311\u3001307\u3001300\u3001305<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u3053\u308c\u3089 2 \u3064\u306e t \u691c\u5b9a\u306e\u4f8b\u3092 R \u3067\u5b9f\u884c\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define vector of turtle weights for each sample\n<span style=\"color: #000000;\">sample1 &lt;- c(300, 315, 320, 311, 314, 309, 300, 308, 305, 303, 305, 301, 303)<\/span>\n<span style=\"color: #000000;\">sample2 &lt;- c(335, 329, 322, 321, 324, 319, 304, 308, 305, 311, 307, 300, 305)<\/span>\n\n#perform two sample t-tests<\/span>\nt. <span style=\"color: #3366ff;\">test<\/span> (x = sample1, y = sample2)\n\n\tWelch Two Sample t-test\n\ndata: sample1 and sample2\nt = -2.1009, df = 19.112, p-value = 0.04914\nalternative hypothesis: true difference in means is not equal to 0\n95 percent confidence interval:\n -14.73862953 -0.03060124\nsample estimates:\nmean of x mean of y \n 307.2308 314.6154<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u7d50\u679c\u304b\u3089\u6b21\u306e\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">t \u691c\u5b9a\u7d71\u8a08\u91cf: <strong>-2.1009<\/strong><\/span><\/li>\n<li><span style=\"color: #000000;\">\u81ea\u7531\u5ea6: <strong>19,112<\/strong><\/span><\/li>\n<li> <span style=\"color: #000000;\">p\u5024: <strong>0.04914<\/strong><\/span><\/li>\n<li><span style=\"color: #000000;\">\u771f\u306e\u5e73\u5747\u5dee\u306e 95% \u4fe1\u983c\u533a\u9593: <strong>[-14.74, -0.03]<\/strong><\/span><\/li>\n<li><span style=\"color: #000000;\">\u30b5\u30f3\u30d7\u30eb 1 \u306e\u5e73\u5747\u91cd\u91cf: <strong>307.2308<\/strong><\/span><\/li>\n<li><span style=\"color: #000000;\">\u30b5\u30f3\u30d7\u30eb 2 \u306e\u5e73\u5747\u91cd\u91cf: <strong>314.6154<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u691c\u5b9a\u306e p \u5024 (0.04914) \u306f 0.05 \u672a\u6e80\u3067\u3042\u308b\u305f\u3081\u3001\u5e30\u7121\u4eee\u8aac\u3092\u68c4\u5374\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u308c\u306f\u30012 \u3064\u306e\u7a2e\u306e\u5e73\u5747\u4f53\u91cd\u304c\u7b49\u3057\u304f\u306a\u3044\u3068\u8a00\u3048\u308b\u5341\u5206\u306a\u8a3c\u62e0\u304c\u3042\u308b\u3053\u3068\u3092\u610f\u5473\u3057\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b 3: R \u3067\u306e\u5bfe\u5fdc\u306e\u3042\u308b\u30b5\u30f3\u30d7\u30eb\u306e t \u691c\u5b9a<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\"><a href=\"https:\/\/statorials.org\/ja\/\u5bfe\u5fdc\u306e\u3042\u308b\u30b5\u30f3\u30d5\u309a\u30eb\u306e-t-\u691c\u5b9a\/\" target=\"_blank\" rel=\"noopener\">\u5bfe\u306e\u3042\u308b\u30b5\u30f3\u30d7\u30eb\u306e t \u691c\u5b9a\u306f\u3001<\/a>\u4e00\u65b9\u306e\u30b5\u30f3\u30d7\u30eb\u306e\u5404\u89b3\u6e2c\u5024\u304c\u3082\u3046\u4e00\u65b9\u306e\u30b5\u30f3\u30d7\u30eb\u306e\u89b3\u6e2c\u5024\u3068\u95a2\u9023\u4ed8\u3051\u3089\u308c\u308b\u5834\u5408\u306b\u30012 \u3064\u306e\u30b5\u30f3\u30d7\u30eb\u306e\u5e73\u5747\u3092\u6bd4\u8f03\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u305f\u3068\u3048\u3070\u3001\u7279\u5b9a\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0 \u30d7\u30ed\u30b0\u30e9\u30e0\u304c\u30d0\u30b9\u30b1\u30c3\u30c8\u30dc\u30fc\u30eb\u9078\u624b\u306e\u6700\u5927\u5782\u76f4\u30b8\u30e3\u30f3\u30d7 (\u30a4\u30f3\u30c1\u5358\u4f4d) \u3092\u5411\u4e0a\u3055\u305b\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u304b\u3069\u3046\u304b\u3092\u77e5\u308a\u305f\u3044\u3068\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u308c\u3092\u30c6\u30b9\u30c8\u3059\u308b\u306b\u306f\u300112 \u4eba\u306e\u5927\u5b66\u30d0\u30b9\u30b1\u30c3\u30c8\u30dc\u30fc\u30eb\u9078\u624b\u306e\u5358\u7d14\u306a\u30e9\u30f3\u30c0\u30e0 \u30b5\u30f3\u30d7\u30eb\u3092\u63a1\u7528\u3057\u3001\u305d\u308c\u305e\u308c\u306e\u6700\u5927\u5782\u76f4\u30b8\u30e3\u30f3\u30d7\u3092\u6e2c\u5b9a\u3057\u307e\u3059\u3002\u6b21\u306b\u3001\u5404\u30d7\u30ec\u30fc\u30e4\u30fc\u306b\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0 \u30d7\u30ed\u30b0\u30e9\u30e0\u3092 1 \u304b\u6708\u9593\u4f7f\u7528\u3057\u3066\u3082\u3089\u3044\u3001\u6708\u672b\u306b\u6700\u5927\u5782\u76f4\u8df3\u3073\u3092\u518d\u5ea6\u6e2c\u5b9a\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30c7\u30fc\u30bf\u306f\u3001\u5404\u30d7\u30ec\u30fc\u30e4\u30fc\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0 \u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u4f7f\u7528\u3059\u308b\u524d\u5f8c\u306e\u6700\u5927\u30b8\u30e3\u30f3\u30d7\u9ad8\u3055 (\u30a4\u30f3\u30c1\u5358\u4f4d) \u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u30d5\u30ed\u30f3\u30c8<\/strong>\uff1a22\u300124\u300120\u300119\u300119\u300120\u300122\u300125\u300124\u300123\u300122\u300121<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u5f8c<\/strong>\uff1a23\u300125\u300120\u300124\u300118\u300122\u300123\u300128\u300124\u300125\u300124\u300120<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001R \u3067\u3053\u306e\u5bfe\u5fdc\u306e\u3042\u308b\u30b5\u30f3\u30d7\u30eb\u306e t \u691c\u5b9a\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define before and after max jump heights\n<span style=\"color: #000000;\">before &lt;- c(22, 24, 20, 19, 19, 20, 22, 25, 24, 23, 22, 21)<\/span>\n<span style=\"color: #000000;\">after &lt;- c(23, 25, 20, 24, 18, 22, 23, 28, 24, 25, 24, 20)<\/span>\n\n#perform paired samples t-test<\/span>\nt. <span style=\"color: #3366ff;\">test<\/span> (x = before, y = after, paired = <span style=\"color: #008000;\">TRUE<\/span> )\n\n\tPaired t-test\n\ndata: before and after\nt = -2.5289, df = 11, p-value = 0.02803\nalternative hypothesis: true difference in means is not equal to 0\n95 percent confidence interval:\n -2.3379151 -0.1620849\nsample estimates:\nmean of the differences \n                  -1.25<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u7d50\u679c\u304b\u3089\u6b21\u306e\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">t \u691c\u5b9a\u7d71\u8a08\u91cf: <strong>-2.5289<\/strong><\/span><\/li>\n<li><span style=\"color: #000000;\">\u81ea\u7531\u5ea6: <strong>11<\/strong><\/span><\/li>\n<li> <span style=\"color: #000000;\">p\u5024: <strong>0.02803<\/strong><\/span><\/li>\n<li><span style=\"color: #000000;\">\u771f\u306e\u5e73\u5747\u5dee\u306e 95% \u4fe1\u983c\u533a\u9593: <strong>[-2.34, -0.16]<\/strong><\/span><\/li>\n<li><span style=\"color: #000000;\">\u524d\u5f8c\u306e\u5e73\u5747\u5dee: <strong>-1.25<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u691c\u5b9a\u306e p \u5024 (0.02803) \u306f 0.05 \u672a\u6e80\u3067\u3042\u308b\u305f\u3081\u3001\u5e30\u7121\u4eee\u8aac\u3092\u68c4\u5374\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u308c\u306f\u3001\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0 \u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u4f7f\u7528\u3059\u308b\u524d\u3068\u4f7f\u7528\u3057\u305f\u5f8c\u306e\u5e73\u5747\u30b8\u30e3\u30f3\u30d7\u9ad8\u3055\u304c\u7b49\u3057\u304f\u306a\u3044\u3068\u3044\u3046\u5341\u5206\u306a\u8a3c\u62e0\u304c\u3042\u308b\u3053\u3068\u3092\u610f\u5473\u3057\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30aa\u30f3\u30e9\u30a4\u30f3\u8a08\u7b97\u30c4\u30fc\u30eb\u3092\u4f7f\u7528\u3057\u3066\u3001\u3055\u307e\u3056\u307e\u306a t \u691c\u5b9a\u3092\u81ea\u52d5\u7684\u306b\u5b9f\u884c\u3057\u307e\u3059\u3002<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ja\/\u30b5\u30f3\u30d5\u309a\u30eb-t-\u691c\u5b9a\u8a08\u7b97\u6a5f\/\" target=\"_blank\" rel=\"noopener\">t \u691c\u5b9a\u8a08\u7b97\u6a5f\u306e\u4f8b<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/ta-\u30c6\u30b9\u30c8\u96fb\u5353-2-\u3064\u306e\u30b5\u30f3\u30d5\u309a\u30eb\/\" target=\"_blank\" rel=\"noopener\">2 \u30b5\u30f3\u30d7\u30eb t \u691c\u5b9a\u8a08\u7b97\u6a5f<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u30d8\u309a\u30a2\u30b5\u30f3\u30d5\u309a\u30eb-t-\u691c\u5b9a\u8a08\u7b97\u6a5f\/\" target=\"_blank\" rel=\"noopener\">\u5bfe\u5fdc\u306e\u3042\u308b\u30b5\u30f3\u30d7\u30eb\u306e t \u691c\u5b9a\u8a08\u7b97\u6a5f<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u4eee\u8aac\u691c\u5b9a\u306f\u3001\u7d71\u8a08\u7684\u4eee\u8aac\u3092\u68c4\u5374\u307e\u305f\u306f\u68c4\u5374\u3067\u304d\u306a\u304b\u3063\u305f\u305f\u3081\u306b\u4f7f\u7528\u3059\u308b\u6b63\u5f0f\u306a\u7d71\u8a08\u691c\u5b9a\u3067\u3059\u3002 \u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001R \u3067\u6b21\u306e\u4eee\u8aac\u30c6\u30b9\u30c8\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5\u3092\u8aac\u660e\u3057\u307e\u3059\u3002 \u30b5\u30f3\u30d7\u30eb t \u691c\u5b9a 2 \u30b5\u30f3\u30d7\u30eb\u306e T \u691c\u5b9a \u5bfe\u5fdc\u306e\u3042\u308b\u30b5\u30f3 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16],"tags":[],"class_list":["post-1813","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u5b8c\u5168\u30ac\u30a4\u30c9: R \u3067\u306e\u4eee\u8aac\u30c6\u30b9\u30c8<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001\u3044\u304f\u3064\u304b\u306e\u4f8b\u3092\u542b\u3080\u3001R \u3067\u306e\u4eee\u8aac\u691c\u5b9a\u306e\u5b8c\u5168\u306a\u30ac\u30a4\u30c9\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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