{"id":3429,"date":"2023-07-17T13:15:29","date_gmt":"2023-07-17T13:15:29","guid":{"rendered":"https:\/\/statorials.org\/cn\/r-%e4%b8%ad%e7%9a%84%e6%a0%b7%e6%9c%ac-t-%e6%a3%80%e9%aa%8c\/"},"modified":"2023-07-17T13:15:29","modified_gmt":"2023-07-17T13:15:29","slug":"r-%e4%b8%ad%e7%9a%84%e6%a0%b7%e6%9c%ac-t-%e6%a3%80%e9%aa%8c","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/r-%e4%b8%ad%e7%9a%84%e6%a0%b7%e6%9c%ac-t-%e6%a3%80%e9%aa%8c\/","title":{"rendered":"\u5982\u4f55\u5728 r \u4e2d\u6267\u884c\u5355\u6837\u672c t \u68c0\u9a8c"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><a href=\"https:\/\/statorials.org\/cn\/\u6837\u672c-t-\u68c0\u9a8c\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u5355\u6837\u672c t \u68c0\u9a8c<\/a>\u7528\u4e8e\u786e\u5b9a\u603b\u4f53\u5e73\u5747\u503c\u662f\u5426\u7b49\u4e8e\u67d0\u4e00\u503c\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u60a8\u53ef\u4ee5\u5728 R \u4e2d\u4f7f\u7528\u4ee5\u4e0b\u57fa\u672c\u8bed\u6cd5\u6765\u6267\u884c\u5355\u6837\u672c t \u68c0\u9a8c\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>t. <span style=\"color: #3366ff;\">test<\/span> (data, mu= <span style=\"color: #008000;\">10<\/span> )<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5728\u5b9e\u8df5\u4e2d\u4f7f\u7528\u6b64\u8bed\u6cd5\u3002<\/span><\/p>\n<h2><strong>\u793a\u4f8b\uff1aR \u4e2d\u7684 T \u6d4b\u8bd5\u6837\u672c<\/strong><\/h2>\n<p><span style=\"color: #000000;\">\u5047\u8bbe\u4e00\u4f4d\u690d\u7269\u5b66\u5bb6\u60f3\u77e5\u9053\u67d0\u79cd\u690d\u7269\u7684\u5e73\u5747\u9ad8\u5ea6\u662f\u5426\u7b49\u4e8e 15 \u82f1\u5bf8\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5979\u5bf9 12 \u79cd\u690d\u7269\u8fdb\u884c\u4e86<a href=\"https:\/\/statorials.org\/cn\/\u62bd\u6837\u65b9\u6cd5\/\" target=\"_blank\" rel=\"noopener\">\u7b80\u5355\u7684\u968f\u673a\u62bd\u6837<\/a>\uff0c\u5e76\u8bb0\u5f55\u4e86\u6bcf\u79cd\u690d\u7269\u7684\u9ad8\u5ea6\uff08\u4ee5\u82f1\u5bf8\u4e3a\u5355\u4f4d\uff09\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5979\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u5728 R \u4e2d\u6267\u884c\u5355\u6837\u672c t \u68c0\u9a8c\uff0c\u4ee5\u786e\u5b9a\u8be5\u690d\u7269\u7269\u79cd\u7684\u5e73\u5747\u9ad8\u5ea6\u662f\u5426\u5b9e\u9645\u4e0a\u4e3a 15 \u82f1\u5bf8\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create vector to hold plant heights<\/span>\nmy_data &lt;- c(14, 14, 16, 13, 12, 17, 15, 14, 15, 13, 15, 14)\n\n<span style=\"color: #008080;\">#perform one sample t-test<\/span>\nt. <span style=\"color: #3366ff;\">test<\/span> (my_data, mu= <span style=\"color: #008000;\">15<\/span> )\n\n\tOne Sample t-test\n\ndata:my_data\nt = -1.6848, df = 11, p-value = 0.1201\nalternative hypothesis: true mean is not equal to 15\n95 percent confidence interval:\n 13.46244 15.20423\nsample estimates:\nmean of x \n 14.33333 \n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u662f\u89e3\u91ca\u8f93\u51fa\u4e2d\u6bcf\u4e2a\u503c\u7684\u65b9\u6cd5\uff1a<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>data<\/strong> \uff1at \u68c0\u9a8c\u4e2d\u4f7f\u7528\u7684\u5411\u91cf\u7684\u540d\u79f0\u3002\u5728\u6b64\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528<strong>my_data<\/strong> \u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>t<\/strong> \uff1at \u68c0\u9a8c\u7edf\u8ba1\u91cf\uff0c\u8ba1\u7b97\u516c\u5f0f\u4e3a ( <span style=\"border-top: 1px solid black;\">x<\/span> \u2013 \u03bc) \/ (s\u221a <span style=\"border-top: 1px solid black;\">n<\/span> ) = (14.333-15)\/(1.370689\/\u221a <span style=\"border-top: 1px solid black;\">12<\/span> ) = <strong>-1.6848<\/strong> \u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>df<\/strong> \uff1a\u81ea\u7531\u5ea6\uff0c\u8ba1\u7b97\u516c\u5f0f\u4e3a n-1 = 12-1 = <strong>11<\/strong> \u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>p \u503c<\/strong>\uff1a\u53cc\u5c3e p \u503c\uff0c\u5bf9\u5e94\u4e8e -1.6848 \u548c 11 \u81ea\u7531\u5ea6\u7684\u68c0\u9a8c\u7edf\u8ba1\u91cf\u3002\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0cp = <strong>0.1201<\/strong> \u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>95% \u7f6e\u4fe1\u533a\u95f4<\/strong>\uff1a\u771f\u5b9e\u603b\u4f53\u5e73\u5747\u503c\u7684 95% \u7f6e\u4fe1\u533a\u95f4\uff0c\u8ba1\u7b97\u516c\u5f0f\u4e3a<strong>[13.46244, 15.20423]<\/strong> \u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b64\u5355\u6837\u672c t \u68c0\u9a8c\u7684\u539f\u5047\u8bbe\u548c\u5907\u62e9\u5047\u8bbe\u5982\u4e0b\uff1a<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>H <sub>0<\/sub> :<\/strong> \u00b5 = 15\uff08\u8be5\u690d\u7269\u7269\u79cd\u7684\u5e73\u5747\u9ad8\u5ea6\u4e3a 15 \u82f1\u5bf8\uff09<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>H <sub>A<\/sub> :<\/strong> \u00b5 \u226015\uff08\u5e73\u5747\u9ad8\u5ea6<em>\u4e0d\u662f<\/em>15 \u82f1\u5bf8\uff09<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u7684\u68c0\u9a8c\u7684 p \u503c<strong>(0.1201)<\/strong>\u5927\u4e8e 0.05\uff0c\u6211\u4eec\u65e0\u6cd5\u62d2\u7edd\u68c0\u9a8c\u7684\u539f\u5047\u8bbe\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u8fd9\u610f\u5473\u7740\u6211\u4eec\u6ca1\u6709\u8db3\u591f\u7684\u8bc1\u636e\u8868\u660e\u8fd9\u79cd\u7279\u5b9a\u690d\u7269\u79cd\u7c7b\u7684\u5e73\u5747\u9ad8\u5ea6\u4e0d\u540c\u4e8e 15 \u82f1\u5bf8\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u6559\u7a0b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 R \u4e2d\u6267\u884c\u5176\u4ed6\u5e38\u89c1\u6d4b\u8bd5\uff1a<\/span><\/p>\n<p><a href=\"https:\/\/statorials.org\/cn\/r\u4e2d\u7684\u4e24\u4e2a\u6837\u672ct\u68c0\u9a8c\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 R \u4e2d\u6267\u884c\u4e24\u4e2a\u6837\u672c T \u68c0\u9a8c<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/\u914d\u5bf9\u6837\u672c-t-\u68c0\u9a8c-r\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 R \u4e2d\u6267\u884c\u914d\u5bf9\u6837\u672c t \u68c0\u9a8c<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/r-\u4e2d\u7684\u97e6\u5c14\u5947-t-\u68c0\u9a8c\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 R \u4e2d\u6267\u884c Welch \u7684 T \u68c0\u9a8c<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u5355\u6837\u672c t \u68c0\u9a8c\u7528\u4e8e\u786e\u5b9a\u603b\u4f53\u5e73\u5747\u503c\u662f\u5426\u7b49\u4e8e\u67d0\u4e00\u503c\u3002 \u60a8\u53ef\u4ee5\u5728 R \u4e2d\u4f7f\u7528\u4ee5\u4e0b\u57fa\u672c\u8bed\u6cd5\u6765\u6267\u884c\u5355\u6837\u672c t \u68c0\u9a8c\uff1a  [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-3429","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u5982\u4f55\u5728 R \u4e2d\u6267\u884c\u5355\u6837\u672c t \u68c0\u9a8c - Statorials<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u4ecb\u7ecd\u5982\u4f55\u5728 R \u4e2d\u6267\u884c\u5355\u6837\u672c t \u68c0\u9a8c\uff0c\u5305\u62ec\u4e00\u4e2a\u5b8c\u6574\u7684\u793a\u4f8b\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link 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