{"id":5332,"date":"2024-09-19T16:01:01","date_gmt":"2024-09-19T08:01:01","guid":{"rendered":""},"modified":"2024-09-19T16:01:01","modified_gmt":"2024-09-19T08:01:01","slug":"\u6570\u636e\u7684\u6b63\u6001\u6027\u68c0\u9a8c\u6c47\u603b\u600e\u4e48\u505a_\u68c0\u9a8c\u6570\u636e","status":"publish","type":"post","link":"https:\/\/mushiming.com\/5332.html","title":{"rendered":"\u6570\u636e\u7684\u6b63\u6001\u6027\u68c0\u9a8c\u6c47\u603b\u600e\u4e48\u505a_\u68c0\u9a8c\u6570\u636e"},"content":{"rendered":"

<\/span>\u4e00\u3001\u56fe\u793a\u6cd5<\/span><\/strong> <\/span><\/span> <\/p>\n

1\u3001<\/span>P-P\u56fe<\/span> <\/span><\/span><\/p>\n

\u4ee5\u6837\u672c\u7684\u7d2f\u8ba1\u9891\u7387\u4f5c\u4e3a\u6a2a\u5750\u6807\uff0c\u4ee5\u5b89\u88c5\u6b63\u6001\u5206\u5e03\u8ba1\u7b97\u7684\u76f8\u5e94\u7d2f\u8ba1\u6982\u7387\u4f5c\u4e3a\u7eb5\u5750\u6807\uff0c\u628a\u6837\u672c\u503c\u8868\u73b0\u4e3a\u76f4\u89d2\u5750\u6807\u7cfb\u4e2d\u7684\u6563\u70b9\u3002\u5982\u679c\u8d44\u6599\u670d\u4ece\u6574\u4f53\u5206\u5e03\uff0c\u5219\u6837\u672c\u70b9\u5e94\u56f4\u7ed5\u7b2c\u4e00\u8c61\u9650\u7684\u5bf9\u89d2\u7ebf\u5206\u5e03\u3002<\/span> <\/span><\/span><\/p>\n

2\u3001<\/span>Q-Q\u56fe<\/span> <\/span><\/span><\/p>\n

\u4ee5\u6837\u672c\u7684\u5206\u4f4d\u6570\u4f5c\u4e3a\u6a2a\u5750\u6807\uff0c\u4ee5\u6309\u7167\u6b63\u6001\u5206\u5e03\u8ba1\u7b97\u7684\u76f8\u5e94\u5206\u4f4d\u70b9\u4f5c\u4e3a\u7eb5\u5750\u6807\uff0c\u628a\u6837\u672c\u8868\u73b0\u4e3a\u6307\u6559\u5750\u6807\u7cfb\u7684\u6563\u70b9\u3002\u5982\u679c\u8d44\u6599\u670d\u4ece\u6b63\u6001\u5206\u5e03\uff0c\u5219\u6837\u672c\u70b9\u5e94\u8be5\u5448\u4e00\u6761\u56f4\u7ed5\u7b2c\u4e00\u8c61\u9650\u5bf9\u89d2\u7ebf\u7684\u76f4\u7ebf\u3002<\/span> <\/span><\/span><\/p>\n

\u4ee5\u4e0a\u4e24\u79cd\u65b9\u6cd5\u4ee5<\/span>Q-Q\u56fe\u4e3a\u4f73\uff0c\u6548\u7387\u8f83\u9ad8\u3002<\/span> <\/span><\/span><\/p>\n

3\u3001\u76f4\u65b9\u56fe<\/span> <\/span><\/span><\/p>\n

\u5224\u65ad\u65b9\u6cd5\uff1a\u662f\u5426\u4ee5\u949f\u5f62\u5206\u5e03\uff0c\u540c\u65f6\u53ef\u4ee5\u9009\u62e9\u8f93\u51fa\u6b63\u6001\u6027\u66f2\u7ebf\u3002<\/span> <\/span><\/span><\/p>\n

4\u3001\u7bb1\u5f0f\u56fe<\/span> <\/span><\/span><\/p>\n

\u5224\u65ad\u65b9\u6cd5\uff1a\u89c2\u6d4b\u79bb\u7fa4\u503c\u548c\u4e2d\u4f4d\u6570\u3002<\/span> <\/span><\/span><\/p>\n

5\u3001\u830e\u53f6\u56fe<\/span> <\/span><\/span><\/p>\n

\u7c7b\u4f3c\u4e0e\u76f4\u65b9\u56fe\uff0c\u4f46\u5b9e\u8d28\u4e0d\u540c\u3002<\/span> <\/span><\/span><\/p>\n

\u4e8c\u3001\u8ba1\u7b97\u6cd5<\/strong><\/span> <\/span><\/span><\/p>\n

1\u3001\u504f\u5ea6\u7cfb\u6570\uff08<\/span>Skewness\uff09\u548c\u5cf0\u5ea6\u7cfb\u6570\uff08<\/span>Kurtosis\uff09<\/span> <\/span><\/span><\/p>\n

\u8ba1\u7b97\u516c\u5f0f\uff1a<\/span> <\/span><\/span><\/p>\n

<\/span><\/p>\n

g1<\/sub><\/strong>\u8868\u793a\u504f\u5ea6\uff0c<\/span>g2<\/sub><\/strong>\u8868\u793a\u5cf0\u5ea6\uff0c\u901a\u8fc7\u8ba1\u7b97<\/span>g1<\/strong>\u548c<\/span>g2<\/strong>\u53ca\u5176\u6807\u51c6\u8bef<\/span>\u03c3<\/span>g1<\/sub><\/strong>\u53ca<\/span>\u03c3<\/span>g2<\/sub><\/strong>\u7136\u540e\u4f5c<\/span>U<\/strong>\u68c0\u9a8c\u3002\u4e24\u79cd\u68c0\u9a8c\u540c\u65f6\u5f97\u51fa<\/span>U<U0.05<\/sub>=1.96<\/strong>\uff0c\u5373<\/span>p>0.05<\/strong>\u7684\u7ed3\u8bba\u65f6\uff0c\u624d\u53ef\u4ee5\u8ba4\u4e3a\u8be5\u7ec4\u8d44\u6599\u670d\u4ece\u6b63\u6001\u5206\u5e03\u3002\u7531\u516c\u5f0f\u53ef\u89c1\uff0c\u90e8\u5206\u6587\u732e\u4e2d\u6240\u8bf4\u7684<\/span>\"<\/span>\u504f\u5ea6\u548c\u5cf0\u5ea6\u90fd\u63a5\u8fd1<\/span>0\u2026\u2026\u53ef\u4ee5\u8ba4\u4e3a<\/span>\u2026\u2026\u8fd1\u4f3c\u670d\u4ece\u6b63\u6001\u5206\u5e03<\/span>\"<\/span>\u5e76\u4e0d\u4e25\u8c28\u3002<\/span> <\/span><\/span><\/p>\n

2\u3001\u975e\u53c2\u6570\u68c0\u9a8c\u65b9\u6cd5<\/span> <\/span><\/span><\/p>\n

\u975e\u53c2\u6570\u68c0\u9a8c\u65b9\u6cd5\u5305\u62ec<\/span>Kolmogorov-Smirnov<\/strong>\u68c0\u9a8c\uff08<\/span>D\u68c0\u9a8c\uff09\u548c<\/span>Shapiro- Wilk<\/strong> <\/span>\uff08<\/span>W<\/span> <\/span>\u68c0\u9a8c\uff09\u3002<\/span><\/span> <\/span><\/span><\/p>\n

SAS<\/strong>\u4e2d\u89c4\u5b9a\uff1a\u5f53\u6837\u672c\u542b\u91cf<\/span>n<\/strong><\/span> \u22642000<\/span><\/strong>\u65f6\uff0c<\/span>\u7ed3\u679c\u4ee5<\/span>Shapiro \u2013 Wilk<\/strong>\uff08<\/span>W<\/span> <\/span>\u68c0\u9a8c\uff09<\/span>\u4e3a\u51c6\uff0c<\/span>\u5f53\u6837\u672c\u542b\u91cf<\/span>n >2000<\/strong><\/span> <\/span>\u65f6\uff0c<\/span>\u7ed3\u679c\u4ee5<\/span>Kolmogorov \u2013 Smirnov<\/strong>\uff08<\/span>D<\/span> <\/span>\u68c0\u9a8c\uff09<\/span>\u4e3a\u51c6\u3002<\/span> <\/span><\/span><\/p>\n

SPSS<\/strong>\u4e2d\u5219\u8fd9\u6837\u89c4\u5b9a\uff1a\uff08<\/span>1\uff09\u5982\u679c\u6307\u5b9a\u7684\u662f\u975e\u6574\u6570\u6743\u91cd\uff0c\u5219\u5728\u52a0\u6743\u6837\u672c\u5927\u5c0f\u4f4d\u4e8e<\/span>3\u548c<\/span>50\u4e4b\u95f4\u65f6\uff0c\u8ba1\u7b97<\/span> <\/span>Shapiro-Wilk<\/strong> <\/span>\u7edf\u8ba1\u91cf\u3002\u5bf9\u4e8e\u65e0\u6743\u91cd\u6216\u6574\u6570\u6743\u91cd\uff0c\u5728\u52a0\u6743\u6837\u672c\u5927\u5c0f\u4f4d\u4e8e<\/span>3 <\/span>\u548c<\/span> <\/span> 5000 <\/span>\u4e4b\u95f4\u65f6\uff0c\u8ba1\u7b97\u8be5\u7edf\u8ba1\u91cf\u3002\u7531\u6b64\u53ef\u89c1\uff0c\u90e8\u5206<\/span>SPSS\u6559\u6750\u91cc\u9762\u5173\u4e8e<\/span>\"<\/span>Shapiro \u2013 Wilk<\/strong>\u9002\u7528\u4e8e\u6837\u672c\u91cf<\/span>3-50\u4e4b\u95f4\u7684\u6570\u636e<\/span>\"<\/span>\u7684\u8bf4\u6cd5\u5b9e\u5728\u662f\u7406\u89e3\u7247\u9762\uff0c\u8bef\u4eba\u5b50\u5f1f\u3002\uff08<\/span>2\uff09\u5355\u6837\u672c<\/span> <\/span>Kolmogorov-Smirnov<\/strong> <\/span> \u68c0\u9a8c\u53ef\u7528\u4e8e\u68c0\u9a8c\u53d8\u91cf\uff08\u4f8b\u5982<\/span>income<\/strong>\uff09\u662f\u5426\u4e3a\u6b63\u6001\u5206\u5e03\u3002<\/span> <\/span><\/span><\/p>\n

\u5bf9\u4e8e\u6b64\u4e24\u79cd\u68c0\u9a8c\uff0c\u5982\u679c<\/span>P<\/strong>\u503c\u5927\u4e8e<\/span>0.05\uff0c\u8868\u660e\u8d44\u6599\u670d\u4ece\u6b63\u6001\u5206\u5e03\u3002<\/span> <\/span><\/span><\/p>\n

\u4e09\u3001<\/span>SPSS\u64cd\u4f5c\u793a\u4f8b<\/span><\/strong> <\/span><\/span><\/p>\n

SPSS<\/strong>\u4e2d\u6709\u5f88\u591a\u64cd\u4f5c\u53ef\u4ee5\u8fdb\u884c\u6b63\u6001\u68c0\u9a8c\uff0c\u5728\u6b64\u53ea\u4ecb\u7ecd\u6700\u4e3b\u8981\u548c\u6700\u5168\u9762\u6700\u65b9\u4fbf\u7684\u64cd\u4f5c\uff1a<\/span> <\/span><\/span><\/p>\n

1\u3001\u5de5\u5177\u680f<\/span>--\u5206\u6790<\/span>\u2014\u63cf\u8ff0\u6027\u7edf\u8ba1<\/span>\u2014\u63a2\u7d22\u6027<\/span> <\/span><\/span><\/p>\n

<\/span><\/p>\n

2\u3001\u9009\u62e9\u8981\u5206\u6790\u7684\u53d8\u91cf\uff0c\u9009\u5165\u56e0\u53d8\u91cf\u6846\u5185\uff0c\u7136\u540e\u70b9\u9009\u56fe\u8868\uff0c\u8bbe\u7f6e\u8f93\u51fa\u830e\u53f6\u56fe\u548c\u76f4\u65b9\u56fe\uff0c\u9009\u62e9\u8f93\u51fa\u6b63\u6001\u6027\u68c0\u9a8c\u56fe\u8868\uff0c\u6ce8\u610f\u663e\u793a\uff08<\/span>Display\uff09\u8981\u9009\u62e9\u53cc\u9879\uff08<\/span>Both\uff09\u3002<\/span> <\/span><\/span><\/p>\n

<\/span><\/p>\n

3\u3001<\/span>Output\u7ed3\u679c<\/span> <\/span><\/span><\/p>\n

\uff08<\/span>1\uff09<\/span>Descriptives\uff1a<\/span><\/strong>\u63cf\u8ff0\u4e2d\u6709\u5cf0\u5ea6\u7cfb\u6570\u548c\u504f\u5ea6\u7cfb\u6570\uff0c\u6839\u636e\u4e0a\u8ff0\u5224\u65ad\u6807\u51c6\uff0c\u6570\u636e\u4e0d\u7b26\u5408\u6b63\u6001\u5206\u5e03\u3002 <\/span><\/span><\/p>\n

Sk<\/sub>=0\uff0c<\/span>Ku<\/sub>=0<\/strong>\u65f6\uff0c\u5206\u5e03\u5448\u6b63\u6001\uff0c<\/span>Sk>0<\/strong>\u65f6\uff0c\u5206\u5e03\u5448\u6b63\u504f\u6001\uff0c<\/span>Sk<0<\/strong>\u65f6\uff0c\u5206\u5e03\u5448\u8d1f\u504f\u6001\uff0c\u65f6\uff0c<\/span>Ku>0<\/strong>\u66f2\u7ebf\u6bd4\u8f83\u9661\u5ced\uff0c<\/span>Ku<0<\/strong>\u65f6\u66f2\u7ebf\u6bd4\u8f83\u5e73\u5766\u3002\u7531\u6b64\u53ef\u5224\u65ad\u672c\u6570\u636e\u5206\u5e03\u4e3a\u6b63\u504f\u6001\uff08\u671d\u5de6\u504f\uff09\uff0c\u8f83\u9661\u5ced\u3002<\/span> <\/span><\/span><\/p>\n

<\/span><\/p>\n

\uff08<\/span>2\uff09<\/span>Tests of Normality<\/strong>\uff1a<\/span>D<\/strong>\u68c0\u9a8c\u548c<\/span>W<\/strong><\/span> \u68c0\u9a8c\u5747\u663e\u793a\u6570\u636e\u4e0d\u670d\u4ece\u6b63\u6001\u5206\u5e03\uff0c\u5f53\u7136\u5728\u6b64\uff0c\u6570\u636e\u6837\u672c\u91cf\u4e3a<\/span>1000\uff0c\u5e94\u4ee5<\/span>W<\/strong>\u68c0\u9a8c\u4e3a\u51c6\u3002<\/span> <\/span><\/span><\/p>\n

<\/span><\/p>\n

\uff08<\/span>3\uff09<\/span><\/strong>\u76f4\u65b9\u56fe <\/span><\/span><\/p>\n

\u76f4\u65b9\u56fe\u9a8c\u8bc1\u4e86\u4e0a\u8ff0\u68c0\u9a8c\u7ed3\u679c\u3002<\/span> <\/span><\/span><\/p>\n

<\/span><\/p>\n

\uff08<\/span>4\uff09<\/span><\/strong>\u6b64\u5916\u8fd8\u6709\u830e\u53f6\u56fe\u3001P-P<\/strong>\u56fe\u3001<\/span>Q-Q<\/strong>\u56fe\u3001\u7bb1\u5f0f\u56fe\u7b49\u8f93\u51fa\u7ed3\u679c\uff0c\u4e0d\u518d\u8d58\u8ff0\u3002\u7ed3\u679c\u540c\u6837\u9a8c\u8bc1\u6570\u636e\u4e0d\u7b26\u5408\u6b63\u6001\u5206\u5e03\u3002<\/span> <\/span><\/span><\/p>\n

   <\/p>\n

\u8bb8\u591a\u8ba1\u91cf\u8d44\u6599\u7684\u5206\u6790\u65b9\u6cd5\u8981\u6c42<\/span>\u6570\u636e<\/span>\u5206\u5e03\u662f\u6b63\u6001\u6216\u8fd1\u4f3c\u6b63\u6001\uff0c\u56e0\u6b64\u5bf9\u539f\u59cb\u72ec\u7acb\u6d4b\u5b9a\u6570\u636e\u8fdb\u884c\u6b63\u6001\u6027\u68c0\u9a8c\u662f\u5341\u5206\u5fc5\u8981\u7684\u3002<\/span> <\/span><\/span><\/span><\/p>\n

\u901a\u8fc7\u7ed8\u5236\u6570\u636e\u7684\u9891\u6570\u5206\u5e03\u76f4\u65b9\u56fe\u6765\u5b9a\u6027\u5730\u5224\u65ad\u6570\u636e\u5206\u5e03\u6b63\u6001\u6027\u3002\u8fd9\u6837\u7684\u56fe\u5f62\u5224\u65ad\u51b3\u4e0d\u662f\u4e25\u683c\u7684\u6b63\u6001\u6027\u68c0\u9a8c<\/span>,<\/span>\u5b83\u6240\u63d0\u4f9b\u7684\u4fe1\u606f\u53ea\u662f\u5bf9\u6b63\u6001\u6027\u68c0\u9a8c\u7684\u91cd\u8981\u8865\u5145\u3002<\/span> <\/span><\/span><\/p>\n

\u6b63\u6001\u6027\u68c0\u9a8c\u4e3b\u8981\u6709\u4e09\u7c7b\u65b9\u6cd5<\/span>: <\/span><\/span><\/p>\n

\u4e00\u3001\u8ba1\u7b97\u7efc\u5408\u7edf\u8ba1\u91cf<\/span> <\/span><\/span><\/h5>\n

\u5982\u52a8\u5dee\u6cd5<\/strong>\u3001\u590f\u76ae\u7f57<\/strong><\/span>-<\/span>\u5a01\u5c14\u514b<\/span><\/strong>Shapiro-Wilk <\/span>\u6cd5<\/span>(W <\/span>\u68c0\u9a8c<\/span>) <\/span>\u3001\u8fbe\u6208\u65af\u63d0\u8bfa<\/strong><\/span>D\u2032Agostino <\/span>\u6cd5<\/span>(D <\/span>\u68c0\u9a8c<\/span>) <\/span>\u3001<\/span>Shapiro-Francia<\/strong> <\/span>\u6cd5<\/span>(W\u2032<\/span>\u68c0\u9a8c<\/span>) . <\/span><\/span><\/p>\n

\u4e8c\u3001\u6b63\u6001\u5206\u5e03\u7684\u62df\u5408\u4f18\u5ea6\u68c0\u9a8c<\/span> <\/span><\/span><\/h5>\n

\u5982\u76ae\u5c14\u900a<\/strong><\/span>\u03c72<\/strong> <\/span>\u68c0\u9a8c<\/span> <\/span>\u3001\u5bf9\u6570\u4f3c\u7136\u6bd4\u68c0\u9a8c<\/strong><\/span> <\/span>\u3001\u67ef\u5c14\u83ab\u54e5\u6d1b\u592b<\/strong><\/span>Kolmogorov-Smirov <\/span>\u6cd5\u68c0\u9a8c<\/span> . <\/span><\/span><\/p>\n

\u4e09\u3001\u56fe\u793a\u6cd5<\/span>(<\/span>\u6b63\u6001\u6982\u7387\u56fe<\/span>Normal Probability plot) <\/span><\/span><\/h5>\n

\u5982\u5206\u4f4d\u6570\u56fe<\/strong><\/span>(Quantile Quantileplot ,<\/span>\u7b80\u79f0<\/span> <\/span>\u56fe<\/span>) <\/span>\u3001\u767e\u5206\u4f4d\u6570<\/strong><\/span>(Percent Percent plot ,<\/span>\u7b80\u79f0<\/span>PP <\/span>\u56fe<\/span>) <\/span>\u548c\u7a33\u5b9a\u5316\u6982\u7387\u56fe<\/strong><\/span>(Stablized Probability plot ,<\/span>\u7b80\u79f0<\/span>SP <\/span>\u56fe<\/span>) <\/span>\u7b49<\/span>. <\/span><\/span><\/p>\n

\u4e0b\u9762\u4ecb\u7ecd\u51e0\u79cd\u8f83\u7edf\u8ba1\u8f6f\u4ef6\u4e2d\u5e38\u7528\u7684\u6b63\u6001\u6027\u68c0\u9a8c\u65b9\u6cd5<\/span> <\/span><\/h4>\n
1<\/span>\u3001\u7528\u504f\u6001\u7cfb\u6570\u548c\u5cf0\u6001\u7cfb\u6570\u68c0\u9a8c\u6570\u636e\u6b63\u6001\u6027<\/span> <\/span><\/span><\/h5>\n

\u504f\u6001\u7cfb\u6570<\/span>Sk,<\/span>\u5b83\u7528\u4e8e\u68c0\u9a8c\u4e0d\u5bf9\u79f0\u6027<\/span>;<\/span>\u5cf0\u6001\u7cfb\u6570<\/span>Ku,<\/span>\u5b83\u7528\u4e8e\u68c0\u9a8c\u5cf0\u6001\u3002<\/span> S k= 0, K u= 0 <\/span>\u65f6<\/span>, <\/span>\u5206\u5e03\u5448\u6b63\u6001<\/span>, S k> 0 <\/span>\u65f6<\/span>, <\/span>\u5206\u5e03\u5448\u6b63\u504f\u6001<\/span>,S k < 0 <\/span>\u65f6<\/span>, <\/span>\u5206\u5e03\u5448\u8d1f\u504f\u6001\u3002\u9002\u7528\u6761\u4ef6\uff1a\u6837\u672c\u542b\u91cf\u5e94\u5927\u4e8e<\/span>200 <\/span><\/span><\/p>\n

2<\/span>\u3001\u7528\u590f\u76ae\u7f57<\/span>-<\/span>\u5a01\u5c14\u514b<\/span>(Shapiro-Wilk)<\/span>\u6cd5\u68c0\u9a8c\u6570\u636e\u6b63\u6001\u6027<\/span> <\/span><\/span><\/h5>\n

\u5373<\/span>W<\/span>\u68c0\u9a8c<\/span>,1965 <\/span>\u5e74\u63d0\u51fa<\/span>,<\/span>\u9002\u7528\u4e8e\u6837\u672c\u542b\u91cf<\/span>n \u226450 <\/span>\u65f6\u7684\u6b63\u6001\u6027\u68c0\u9a8c<\/span>;<\/span>\u3002<\/span> <\/span><\/span><\/p>\n

3<\/span>\u3001\u7528\u8fbe\u6208\u65af\u63d0\u8bfa<\/span>(D\u2032Agostino)<\/span>\u6cd5\u68c0\u9a8c\u6570\u636e\u6b63\u6001\u6027<\/span> <\/span><\/span><\/h5>\n

\u5373<\/span>D<\/span>\u68c0\u9a8c<\/span>,1971<\/span>\u63d0\u51fa<\/span>,<\/span>\u6b63\u6001\u6027<\/span>D<\/span>\u68c0\u9a8c\u8be5\u65b9\u6cd5\u6548\u7387\u9ad8\uff0c\u662f\u6bd4\u8f83\u7cbe\u786e\u7684\u6b63\u6001\u68c0\u9a8c\u6cd5\u3002<\/span> <\/span><\/span><\/p>\n

4<\/span>\u3001<\/span>Shapiro-Francia <\/span>\u6cd5<\/span> <\/span><\/span><\/h5>\n

\u5373<\/span>W\u2032<\/span>\u68c0\u9a8c<\/span>,<\/span>\u4e8e<\/span>1972 <\/span>\u5e74\u63d0\u51fa<\/span>,<\/span>\u9002\u7528\u4e8e<\/span>50 < n < 100 <\/span>\u65f6\u7684\u6b63\u6001\u6027\u68c0\u9a8c\u3002<\/span> <\/span><\/span><\/p>\n

5<\/span>\u3001<\/span><\/span>\u56fe\u6216<\/span>PP<\/span>\u56fe<\/span> <\/span><\/span><\/h5>\n

\u6563\u70b9\u805a\u96c6\u5728\u56fa\u5b9a\u76f4\u7ebf\u7684\u5468\u56f4\uff0c\u53ef\u4ee5\u8ba4\u4e3a\u6570\u636e\u8d44\u6599\u8fd1\u4f3c\u670d\u4ece\u6b63\u6001\u5206\u5e03<\/span> <\/span><\/span><\/p>\n

SPSS&SAS<\/span>\u89c4\u5219\uff1a<\/span><\/strong>
SPSS <\/strong><\/span>\u89c4\u5b9a<\/span>:<\/span>\u5f53\u6837\u672c\u542b\u91cf<\/span>3 \u2264n \u22645000 <\/span>\u65f6<\/span>,<\/span>\u7ed3\u679c\u4ee5<\/span>Shapiro - Wilk (W <\/span>\u68c0\u9a8c<\/span>) <\/span>\u4e3a\u96be<\/span>,<\/span>\u5f53\u6837\u672c\u542b\u91cf<\/span>n > 5000 <\/span>\u7ed3\u679c\u4ee5<\/span>Kolmogorov - Smirnov <\/span>\u4e3a\u51c6\u3002<\/span><\/strong> <\/span><\/span><\/p>\n

\u800c<\/span>SAS <\/span>\u89c4\u5b9a<\/span>:<\/span>\u5f53\u6837\u672c\u542b\u91cf<\/span>n \u22642000 <\/span>\u65f6<\/span>,<\/span>\u7ed3\u679c\u4ee5<\/span>Shapiro - Wilk (W <\/span>\u68c0\u9a8c<\/span>) <\/span>\u4e3a\u51c6<\/span>,<\/span>\u5f53\u6837\u672c\u542b\u91cf<\/span>n >2000 <\/span>\u65f6<\/span>,<\/span>\u7ed3\u679c\u4ee5<\/span>Kolmogorov - Smirnov (D <\/span>\u68c0\u9a8c<\/span>) <\/span>\u4e3a\u51c6<\/span><\/strong> <\/span><\/span><\/p>\n

 <\/p>\n

\u95ee\uff1a<\/strong>\u5bf9\u7167\u7ec4\u548c\u75c5\u4f8b\u7ec4\u90fd\u662f<\/span>20<\/span>\u4f8b\uff0c\u62df\u5bf9\u67d0\u6307\u6807\u8fdb\u884c\u6b63\u6001\u6027\u68c0\u9a8c\uff0c\u662f\u7528<\/span>Kolmogorov-Smirnov<\/span>\u68c0\u9a8c<\/span>(<\/span>\u7b80\u79f0<\/span>K-S<\/span>\u68c0\u9a8c<\/span>)<\/span>\uff0c\u8fd8\u662f<\/span>Shapiro-Wilk<\/span>\u68c0\u9a8c\uff1f\u5df2\u7528<\/span>K-S<\/span>\u68c0\u9a8c\u4e0d\u80fd\u8ba4\u4e3a\u8be5\u6307\u6807\u4e0d\u662f\u6b63\u6001\u5206\u5e03\uff0c\u4f46\u662f<\/span>Shapiro-Wilk<\/span>\u68c0\u9a8c\u8868\u660e\u5176\u4e3a\u975e\u6b63\u6001\u5206\u5e03\uff0c\u6211\u8be5\u76f8\u4fe1\u54ea\u4e2a\u68c0\u9a8c\u7ed3\u679c\uff1f\u7b54\uff1a<\/strong><\/span>Kolmogorov-Smirnov<\/span>\u68c0\u9a8c\uff1a\u68c0\u9a8c\u9891\u6570\u5206\u5e03\u7684\u6b63\u6001\u6027\u68c0\u9a8c\uff0c\u9002\u5408\u5927\u6837\u672c\u3002<\/span>Shapiro-Wilk<\/span>\u68c0\u9a8c\uff1a\u5c0f\u6837\u672c\u6570\u636e\u7684\u6b63\u6001\u6027\u68c0\u9a8c\u3002\u77e9\u6cd5\u6b63\u6001\u6027\u68c0\u9a8c<\/span>: <\/span>\u4e0d\u9650\u6837\u672c\u3002\u95ee\uff1a<\/strong>\u7528<\/span>SPSS<\/span>\u4e2d<\/span>analysze\/discriptive statistics\/explore<\/span>\u6cd5\u548c\u7528<\/span>analyze\/nonparametric tests\/1-sample K-S<\/span>\u6cd5\u8bc4\u4ef7\u6b63\u6001\u6027\uff0c\u7ed3\u679c\u4e0d\u5b8c\u5168\u76f8\u540c\uff0c\u4e3a\u4ec0\u4e48\uff1f\u7b54\uff1a<\/strong><\/span><\/span>\u4ee5\u7b2c\u4e8c\u4e2a\u4e3a\u51c6\uff0c\u7b2c\u4e00\u79cd\u65b9\u6cd5\u662f\u53c2\u6570\u68c0\u9a8c\uff0c\u800c\u7b2c\u4e8c\u79cd\u662f\u975e\u53c2\u6570\u68c0\u9a8c\uff0c\u7b2c\u4e00\u79cd\u662f\u5728\u77e5\u9053\u603b\u4f53\u5206\u5e03\u7684\u60c5\u51b5\u4e0b\u505a\u7684\uff0c\u7b2c\u4e8c\u79cd\u662f\u5728\u4e0d\u77e5\u9053\u603b\u4f53\u5206\u5e03\u7684\u60c5\u51b5\u8fdb\u884c\u7684\u68c0\u9a8c\uff0c\u800c\u4e14\u5927\u591a\u6570\u7684\u68c0\u9a8c\uff0c\u6211\u4eec\u90fd\u662f\u4e0d\u77e5\u9053\u603b\u4f53\u5206\u5e03\u5230\u5e95\u662f\u4ec0\u4e48\u624d\u505a\u7684K-S\u68c0\u9a8c\u3002 <\/code><\/pre>\n
\u56e0\u6b64\u5728\u505a\u5206\u6790\u7684\u65f6\u5019\u4e00\u822c\u7528\u7b2c\u4e8c\u79cd\uff0c\u6807\u51c6\u7684\u68c0\u9a8c\u5355\u6837\u672c\u5206\u5e03\u7684\u65b9\u6cd5\u3002\u4e0d\u8fc7\u4e00\u822c\u63a8\u8350\u7528\u4e0a\u9762\u7684\uff0c\u5e76\u4e14\u548c<\/span>SAS<\/span>\u7684\u7ed3\u679c\u6bd4\u8f83\u543b\u5408\u3002\u540c\u65f6\u6837\u672c\u91cf\u5c0f\u7684\u65f6\u5019\u9009<\/span>S-W<\/span>\u7684\u7ed3\u679c\uff0c\u81f3\u4e8e\u7ed3\u679c\u7684\u4e0d\u540c\uff0c\u5e94\u8be5\u662f\u4e0d\u540c\u7684\u65b9\u6cd5\u7b97\u51fa\u7684\u503c\u4e0d\u540c\uff0c\u8fd9\u5f88\u6b63\u5e38\uff0c\u56e0\u4e3a\u8fd9\u51e0\u4e2a\u65b9\u6cd5\u7684\u6570\u5b66\u8868\u8fbe\u5f0f\u5c31\u4e0d\u4e00\u6837\uff0c\u4e2d\u95f4\u5bf9\u6570\u636e\u7684\u5904\u7406\u4e5f\u4e0d\u4e00\u6837\uff0c\u4f1a\u6709\u4fe1\u606f\u635f\u5931\u7b49\u539f\u56e0\u7684\uff0c\u5728\u6b63\u6001\u68c0\u9a8c\u4e2d\uff0c\u5c24\u5176\u662f\u63a5\u8fd1<\/span>\u03b1<\/span>\u6c34\u51c6\u65f6\uff0c\u5f80\u5f80\u5bb9\u6613\u51fa\u73b0\u95ee\u9898\uff0c\u6240\u4ee5\u8981\u6839\u636e\u8d44\u6599\u7684\u6027\u8d28\u5224\u65ad\u7528\u4ec0\u4e48\u65b9\u6cd5\u8fdb\u884c\u68c0\u9a8c\u66f4\u5408\u9002\u3002\u4e0d\u662f\u628a\u6240\u6709\u7684\u65b9\u6cd5\u90fd\u505a\u4e00\u904d\u3002\u5bf9\u4e8e\u5230\u5e95<\/span>P<\/span>\u53d6\u591a\u5c11\u624d\u6709\u610f\u4e49\uff0c\u8bf4\u6cd5\u6709\u597d\u591a\u79cd\uff0c\u5e38\u7528\u7684\u662f<\/span>0.1 <\/span>\u5427\uff0c<\/span>SPSS<\/span>\u81ea\u5e26\u7684\u662f<\/span>0.2<\/span>\u7684\u754c\u503c\u3002\u5176\u5b9e\u8fd8\u662f\u5f97\u7ed3\u5408<\/span><\/span>\uff0c<\/span>PP<\/span>\u56fe\u4e4b\u7c7b\u7684\u6765\u89c2\u5bdf\u4f1a\u597d\u4e9b\u3002\u5c0f\u6837\u672c\u6700\u597d\u4e0d\u8981\u770b<\/span>Kolmogorov-Smirnov<\/span>\u7684\u7ed3\u679c\uff0c\u5e38\u5e38\u4f1a\u6709\u95ee\u9898\uff0c<\/span>Shapiro-Wilk <\/span>\u7684\u7ed3\u679c\u4f1a\u597d\u4e9b\u3002\u8865\u5145\uff1a<\/strong>\u5982\u679c\u6839\u636e\u56fd\u6807\uff0c\u5176\u504f\u6001\u548c\u5cf0\u6001\u7b97\u6cd5\uff0c\u5176\u503c\u4e3a\u591a\u5c11\u65f6\u7b26\u5408\u6b63\u6001\u522b\u6709\u89c4\u5b9a\u5462\uff1f<\/span>K-S<\/span>\u68c0\u9a8c\u8bb0\u5f97\u5728\u8d44\u6599\u4e0a\u89c1\u8fc7<\/span>8<=n<=50<\/span>\u65f6\u53ef\u4ee5\u5229\u7528\uff0c\u5c0f\u6837\u672c\u5c31\u4e0d\u63a8\u8350\uff0c<\/span>W<\/span>\u68c0\u9a8c\u5728\u56fd\u6807\u4e2d\u4e0d\u63a8\u8350\uff0c\u5177\u4f53\u539f\u56e0\u672a\u77e5\uff0c\u4e0d\u8fc7\uff0c\u63a8\u8350\u4e86<\/span>EPPS-PULLEY<\/span>\u6cd5\uff08\u5728<\/span>SPSS<\/span>\uff0c<\/span>SAS<\/span>\u8f6f\u4ef6\u4e2d\u672a\u89c1\u6709\u8fd9\u79cd\u68c0\u9a8c\uff0c\u4f46\u6709\u9488\u5bf9\u7684\u8f6f\u4ef6\u5bf9\u8be5\u6cd5\u6709\u72ec\u7acb\u5f00\u53d1\uff09\u3002\u95ee\uff1a<\/strong>\u90a3\u4e3a\u4ec0\u4e48\u7528<\/span>analysze\/discriptive statistics\/explore<\/span>\u6cd5\u7684\u7ed3\u679c\u4e2d\uff0c<\/span>nonparametric tests <\/span>\u56fe\u4e0b\u6709\u4e00\u53e5\u8bdd\uff1a<\/span> test distribution is normal<\/span>\u3002\u8fd9\u53e5\u8bdd\u548c<\/span>P<\/span>\u503c\u4e0d\u5c31\u77db\u76fe\u4e86\u5417\uff1f<\/span> <\/span>\u7b54\uff1a<\/strong>\u8fd9\u4e2a\u662f\u5bf9\u524d\u9762\u7ed9\u51fa\u5747\u6570\u6807\u51c6\u5dee\u65f6\u5019\u7684\u4e00\u4e2a\u5047\u5b9a\uff0c\u56e0\u4e3a\u5982\u679c\u4e0d\u670d\u4ece\u6b63\u6001\uff0c\u7ed9\u51fa\u8fd9\u4e24\u4e2a\u53c2\u6570\u662f\u6ca1\u6709\u5b9e\u7528\u4ef7\u503c\u7684\uff0c\u6216\u8005\u8bf4\u662f\u9519\u8bef\u7684\uff0c\u6240\u4ee5\u5b83\u7ed9\u4e86\u4e00\u4e2a\u5047\u5b9a\u3002\u4f60\u770b<\/span>a<\/span>\uff0c<\/span>b<\/span>\u6807\u6ce8\u5728\u4ec0\u4e48\u5730\u65b9\uff1f<\/span><\/span> <\/span><\/span><\/p>\n
\u95ee\uff1a<\/strong>\u5927\u6837\u672c\u7684\u975e\u6b63\u6001\u8d44\u6599\u53ef\u770b\u4f5c\u8fd1\u4f3c\u6b63\u6001\u5206\u5e03\u7684\u8d44\u6599\uff0c\u90a3\u4e48\u5176\u63cf\u8ff0\u80fd\u4e0d\u80fd\u7528\u5747\u6570\u52a0\u51cf\u6807\u51c6\u5dee\u6765\u8868\u793a\u5462\uff1f\u4e00\u5b9a\u8981\u7528\u4e2d\u4f4d\u6570\u548c\u56db\u5206\u4f4d\u6570\u95f4\u8ddd\u6765\u8868\u793a\u5417\uff1f<\/span> <\/span>\u7b54\uff1a<\/strong><\/span>\"<\/span>\u5927\u6837\u672c\u7684\u975e\u6b63\u6001\u8d44\u6599\u53ef\u770b\u4f5c\u8fd1\u4f3c\u6b63\u6001\u5206\u5e03\u7684\u8d44\u6599<\/span>\"<\/span>\u8fd9\u662f\u57fa\u4e8e\u4e2d\u5fc3\u6781\u9650\u5b9a\u7406\uff0c\u5927\u6837\u672c\u5747\u6570\u670d\u4ece\u6b63\u6001\u5206\u5e03\uff0c\u53ef\u7528<\/span>U<\/span>\u68c0\u9a8c\u8fdb\u884c\u4e24\u7ec4\u5747\u6570\u7684\u6bd4\u8f83\u3002\u5e76\u975e\u5927\u6837\u672c\u7684\u975e\u6b63\u6001\u8d44\u6599\u53ef\u770b\u4f5c\u8fd1\u4f3c\u6b63\u6001\u5206\u5e03\u7684\u8d44\u6599\u3002\u5927\u6837\u672c\u8d44\u6599\u7684\u63cf\u8ff0\u53ef\u4ee5\u7528\u5747\u6570\u52a0\u51cf\u6807\u51c6\u5dee\u3002<\/span> <\/span>\u6570\u636e\u7684\u63cf\u8ff0\u6b63\u6001<\/span> X\u00b1S <\/span>\u975e\u6b63\u6001<\/span> M(QR) <\/span>\uff08<\/span>M<\/span>\u4ee3\u8868\u4e2d\u4f4d\u6570\uff0c<\/span>QR=Q3-Q1<\/span>\uff0c\u4ee3\u8868\u56db\u5206\u4f4d\u6570\u95f4\u8ddd\uff09\u975e\u6b63\u6001\u8d44\u6599\u4e5f\u6709\u7528<\/span> M(P25,P75)<\/span>\u6765\u8fdb\u884c\u63cf\u8ff0\u7684\uff0c\u80fd\u591f\u66f4\u76f4\u89c2\u7684\u770b\u5230\u6570\u636e\u7684\u5206\u5e03\u5f62\u72b6<\/span><\/span> <\/span><\/span><\/p>\n
\u7591\u95ee<\/span>:<\/span>\u8fd9\u513f\u6709\u4e2a\u503c\u5f97\u8003\u8651\u7684\u95ee\u9898\uff0c\u591a\u5927\u5c5e\u4e8e\u5927\u6837\u672c\uff1f\u5982\u679c\u6837\u672c\u662f\u6211\u4eec\u5e38\u8bf4\u7684<\/span>\"<\/span>\u5927\u6837\u672c<\/span>\"<\/span>\u90a3\u4e48\u53ea\u80fd\u8bf4\u660e\u6837\u672c\u53c2\u6570\u662f\u7b26\u5408\u6b63\u6001\u5206\u5e03\u3002\u5c31\u6837\u672c\u8d44\u6599\u6765\u8bf4\uff0c\u5982\u679c\u8fd9\u4e2a\u6837\u672c\u7684\u8d44\u6599\u504f\u6001\u4e25\u91cd\uff0c\u90a3\u4e48\u5c31\u4e0d\u9002\u5408\u91c7\u7528\u5747\u6570\u52a0\u51cf\u6807\u51c6\u5dee\u6765\u5bf9\u8fd9\u4e2a\u6837\u672c\u8d44\u6599\u8fdb\u884c\u63cf\u8ff0\u3002<\/span><\/span> <\/span><\/span><\/p>\n
\u95ee\uff1a<\/strong><\/span>SPSS<\/span>\u4e2d\u53ea\u6709\u5173\u4e8e<\/span>t<\/span>\u68c0\u9a8c\u7684\u7a0b\u5e8f\uff0c\u8bf7\u95ee<\/span>U<\/span>\u68c0\u9a8c\u7684\u7a0b\u5e8f\u5728\u54ea\u91cc\u5462\uff1f<\/span> <\/span>\u7b54\uff1a<\/strong><\/span>U<\/span>\u68c0\u9a8c<\/span>SAS<\/span>\u7a0b\u5e8f\uff08\u53ea\u6709\u6837\u672c\u91cf\u3001\u5747\u6570\u3001\u6807\u51c6\u5dee\u7684\u60c5\u51b5\uff09<\/span>data utest;n1=116; x1=0.2189; s1=0.2351;n2=125; x2=0.2280; s2=0.2561;u=(x1-x2)\/sqrt(s1**2\/n1+s2**2\/n2);p=(1-probnorm(abs(u))*2;proc print;var u p;run;SAS<\/span>\u7684\u6b63\u6001\u6027\u68c0\u9a8c<\/span><\/span>PROC UNIVARIATE DATA=data1 NORMALVAR x;RUN; <\/span> <\/span><\/span><\/p>\n
\u6ce8\uff1a\u4ee5\u4e0a\u95ee\u9898\u5373\u56de\u7b54\u6765\u81ea\u5404\u5927\u8bba\u575b\uff0c\u672c\u5de5\u4f5c\u5ba4\u5bf9\u5176\u8fdb\u884c\u6574\u7406\uff0c\u548c\u4fee\u6b63\uff0c\u4ee5\u65b9\u4fbf\u8bfb\u8005\u3002\u5982\u6709\u4e0d\u59a5\u652f\u51fa\uff0c\u8bf7\u53ca\u65f6\u5e2e\u6211\u4eec\u65a7\u6b63\uff0c\u8c22\u8c22\uff01\u5982\u6709\u4e0e<\/span>\"GBT4882-2001<\/span>\u6570\u636e\u7684\u7edf\u8ba1\u5904\u7406\u548c\u89e3\u91ca<\/span>-<\/span>\u6b63\u6001\u6027\u68c0\u9a8c<\/span>\"<\/span>\u51b2\u7a81\u7684\uff0c\u8bf7\u53c2\u7167\u56fd\u6807\u3002\u4e0b\u8f7d\u5730\u5740<\/span><\/span>http:\/\/www.tj911.cn\/netdisk\/GetFile.asp<\/span><\/strong><\/span>  <\/span>\u63d0\u53d6\u7801\uff1a<\/strong><\/span>009MMH<\/strong><\/span> <\/span><\/span><\/p>\n
\u4e24\u79cd\u6b63\u6001\u6027\u68c0\u9a8c\u65b9\u6cd5\u5dee\u5f02\u6bd4\u8f83<\/span> <\/span><\/span><\/h4>\n
SPSS 2010-06-26 13:20:34 <\/span>\u9605\u8bfb<\/span>56 <\/span> \u8bc4\u8bba<\/span>0 <\/span>\u5b57\u53f7\uff1a\u5927\u4e2d\u5c0f<\/span> <\/span><\/span><\/p>\n
SPSS<\/span>\u91cc\u9762\u6709\u4e24\u5904\u53ef\u4ee5\u68c0\u9a8c\u6570\u636e\u6b63\u6001\u6027\uff0c<\/span>
 <\/span>\u4e00\u4e2a\u662f<\/span>: <\/span> <\/span>Analysis - Descriptive Statistics --Explore<\/strong><\/span>,<\/span>\u8fd9\u53ef\u80fd\u662f\u5e38\u7528\u7684\u65b9\u6cd5<\/span> <\/span><\/span><\/span><\/p>\n
\"\u6570\u636e\u7684\u6b63\u6001\u6027\u68c0\u9a8c\u6c47\u603b\u600e\u4e48\u505a_\u68c0\u9a8c\u6570\u636e <\/span><\/p>\n
 <\/span>\u53e6\u4e00\u5904\u662f\uff1a<\/span><\/span>Analysis -Nonparametric tests -- One sample K-S test<\/span>\uff0c<\/span><\/strong> <\/span><\/span><\/span><\/p>\n
\"\u6570\u636e\u7684\u6b63\u6001\u6027\u68c0\u9a8c\u6c47\u603b\u600e\u4e48\u505a_\u68c0\u9a8c\u6570\u636e <\/span><\/p>\n
\u4e24\u4e2a\u5730\u65b9\u867d\u7136\u90fd\u7528\u5230\u4e86\u540d\u79f0\u76f8\u540c\u7684<\/span>Kolmogorov-Smirnov Test<\/span>\uff0c\u4f46\u662f\u7ecf\u5e38\u4f1a\u51fa\u73b0\u68c0\u9a8c\u7684\u7ed3\u679c\u4e0d\u4e00\u81f4\u7684\u60c5\u51b5\u3002<\/span><\/strong> <\/span><\/span><\/p>\n
   <\/p>\n
\u6bd4\u5982\u5c31\u7528<\/span>SPSS<\/span>\u81ea\u5e26\u7684\u6570\u636e<\/span>Anxiety 2.sav<\/span>\uff0c\u5206\u522b\u5bf9<\/span>trial1-trial4<\/span>\u7684\u68c0\u6d4b\u503c\u505a\u6b63\u6001\u6027\u68c0\u9a8c<\/span>
 <\/span>\u7528<\/span>EXPLORE<\/span>\u5f97\u51fa\u7684\u7ed3\u679c\u662f\uff1a<\/span><\/span> <\/span><\/span><\/p>\n
\"\u6570\u636e\u7684\u6b63\u6001\u6027\u68c0\u9a8c\u6c47\u603b\u600e\u4e48\u505a_\u68c0\u9a8c\u6570\u636e <\/span><\/p>\n
 <\/span>\u800c\u7528<\/span>NPAR<\/span>\u505a\u51fa\u7684\u7ed3\u679c\u662f\uff1a<\/span> <\/span><\/span><\/p>\n
\"\u6570\u636e\u7684\u6b63\u6001\u6027\u68c0\u9a8c\u6c47\u603b\u600e\u4e48\u505a_\u68c0\u9a8c\u6570\u636e <\/span><\/p>\n
   <\/p>\n
   <\/p>\n
\u5728<\/span>'<\/span>\u63a2\u7d22<\/span>'<\/span>\u91cc\u51fa\u73b0\u7684<\/span>Kolmogorov-Smirnov<\/span>\u68c0\u9a8c\uff0c\u5b83\u7684\u53f3\u4e0a\u89d2\u6709\u4e00\u4e2a<\/span>a<\/span>\u7684\u6ce8\u91ca\u53f7\u3002<\/span>
 <\/span>\u4e0b\u9762\u7684\u4ecb\u7ecd\u8868\u660e\u5b83\u662f\u7ecf\u8fc7<\/span>Lilliefors<\/span>\u6539\u8fdb\u6216\u7ea0\u6b63\u7684\u7ed3\u679c\u3002<\/span>
 <\/span>\u5b83\u5c06<\/span>Kolmogorov-Smirnov<\/span>\u68c0\u9a8c\u6539\u8fdb\u7528\u4e8e\u4e00\u822c\u7684\u6b63\u6001\u6027\u68c0\u9a8c\u3002<\/span>
  
 <\/span>\u800c\u5728<\/span>'<\/span>\u975e\u53c2\u6570\u68c0\u9a8c<\/span>'<\/span>\u91cc\u51fa\u73b0\u7684<\/span>Kolmogorov-Smirnov<\/span>\u68c0\u9a8c\uff0c\u662f\u6ca1\u6709\u7ecf\u8fc7\u7ea0\u6b63\u6216\u6539\u8fdb\u7684\u3002<\/span>
 <\/span>\u8be5\u6b63\u6001\u6027\u68c0\u9a8c\u53ea\u80fd\u505a\u6807\u51c6\u6b63\u6001\u68c0\u9a8c\u3002<\/span><\/strong><\/span> <\/span><\/span><\/p>\n
   <\/p>\n
SPSS<\/span>\u89c4\u5b9a\uff1a\u5f53\u6837\u672c\u542b\u91cf<\/span>3\u2264n\u22645000<\/span>\u65f6\uff0c\u7ed3\u679c\u4ee5<\/span>Shapiro\u2014Wilk(W <\/span>\u68c0\u9a8c<\/span>)<\/span>\u4e3a\u96be\uff0c\u5f53\u6837\u672c\u542b\u91cf<\/span>n>5000<\/span>\u7ed3\u679c\u4ee5<\/span>Kolmogorm \u2014Smimov(D<\/span>\u68c0\u9a8c<\/span>)<\/span>\u4e3a\u51c6\u3002<\/span>
  
 SAS<\/span>\u89c4\u5b9a\uff1a\u5f53\u6837\u672c\u542b\u91cf<\/span>n\u22642000<\/span>\u65f6\uff0c\u7ed3\u679c\u4ee5<\/span>Shapim\u2014Wilk(W <\/span>\u68c0\u9a8c<\/span>)<\/span>\u4e3a\u51c6\uff0c\u5f53\u6837\u672c\u542b\u91cf<\/span>n>2000<\/span>\u65f6\uff0c\u7ed3\u679c\u4ee5<\/span>Kolmogorov\u2014Smimov(D<\/span>\u68c0\u9a8c<\/span>)<\/span>\u4e3a\u51c6\u3002<\/span><\/span>
  
 <\/span><\/strong>\u5728<\/span>SPSS<\/span>\u548c<\/span>SAS<\/span>\u7b49\u7edf\u8ba1\u5206\u6790\u8f6f\u4ef6\u4e2d\uff0c\u901a\u5e38\u7528\u7edf\u8ba1\u63cf\u8ff0\u6a21\u5757\u4e2d\u7684<\/span>Shapiro-Wilk<\/span>\u68c0\u9a8c\u3001\u7ecf\u8fc7<\/span>Lilliefors<\/span>\u663e\u8457\u6c34\u5e73\u4fee\u6b63\u7684<\/span>Kolmogorov\u2014Smirnov<\/span>\u68c0\u9a8c\u548c\u975e\u53c2\u6570\u68c0\u9a8c\u6a21\u5757\u4e2d\u7684\u5355\u4e00\u6837\u672c<\/span>Kolmogorov\u2014Smirnov<\/span>\u68c0\u9a8c\u8fdb\u884c\u6b63\u6001\u6027\u5224\u5b9a\u3002\u4f46\u662f\u8fd9\u51e0\u79cd\u68c0\u9a8c\u65b9\u6cd5\u5b58\u5728\u4ee5\u4e0b\u51e0\u65b9\u9762\u7684\u95ee\u9898\u3002<\/span>
 (1)<\/span>\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\u5e38\u51fa\u73b0\u68c0\u9a8c\u7ed3\u679c\u4e0e\u76f4\u65b9\u56fe\u3001\u6b63\u6001\u6027\u6982\u7387\u56fe\u4e0d\u4e00\u81f4\uff0c\u751a\u81f3\u51e0\u79cd\u5047\u8bbe\u68c0\u9a8c\u65b9\u6cd5\u7ed3\u679c\u5b8c\u5168\u4e0d\u540c\u7684\u60c5\u51b5\u3002<\/span>
 (2)Shapiro\u2014Wilk<\/span>\u68c0\u9a8c<\/span>(<\/span>\u2163<\/span> <\/span>\u68c0\u9a8c<\/span>)<\/span>\u548c\u7ecf\u8fc7<\/span>Lilliefors<\/span>\u663e\u8457\u6c34\u5e73\u4fee\u6b63\u7684<\/span>Kolmogorov\u2014Smirnov<\/span>\u68c0\u9a8c<\/span>(D<\/span>\u68c0\u9a8c<\/span>)<\/span>\u662f\u7528\u4e00\u4e2a\u7efc\u5408\u6307\u6807<\/span>(<\/span>\u987a\u5e8f\u7edf\u8ba1\u91cf\u2163<\/span> <\/span>\u6216<\/span>D)<\/span>\u6765\u5224\u5b9a\u8d44\u6599\u7684\u6b63\u6001\u6027\u7531\u4e8e\u4e24\u79cd\u65b9\u6cd5\u90fd\u662f\u7528\u4e00\u4e2a\u6307\u6807\u53cd\u6620\u8d44\u6599\u7684\u6b63\u6001\u6027\uff0c\u6240\u4ee5\u5f53\u8d44\u6599\u7684\u6b63\u6001\u5cf0\u548c\u5bf9\u79f0\u6027\u4e24\u4e2a\u7279\u5f81\u6709\u4e00\u4e2a\u4e0d\u6ee1\u8db3\u6b63\u6001\u6027\u8981\u6c42\u65f6\uff0c\u4e24\u79cd\u65b9\u6cd5\u51fa\u73b0\u5047\u9634\u6027\u9519\u8bef\u7684\u673a\u7387\u5747\u8f83\u5927\uff1b\u800c\u4e14\u4e24\u79cd\u65b9\u6cd5\u7684\u68c0\u9a8c\u7edf\u8ba1\u91cf\u90fd\u662f\u8fdb\u884c\u5927\u5c0f\u6392\u5e8f\u540e\u5f97\u5230\uff0c\u6240\u4ee5\u6613\u53d7\u5f02\u5e38\u503c\u7684\u5f71\u54cd\u3002<\/span>
 (3)Kolmogorov\u2014Smirnov<\/span>\u5355\u4e00\u6837\u672c\u68c0\u9a8c\u662f\u6839\u636e\u5b9e\u9645\u7684\u7d2f\u8ba1\u9891\u6570\u5206\u5e03\u548c\u7406\u8bba\u7684\u7d2f\u8ba1\u9891\u6570\u5206\u5e03\u7684\u6700\u5927\u5dee\u5f02\u6765\u68c0\u9a8c\u8d44\u6599\u7684\u6b63\u6001\u6027\uff0c\u53ef\u5bf9\u6b63\u6001\u5206\u5e03\u8fdb\u884c\u62df\u5408\u4f18\u5ea6\u68c0\u9a8c\u3002\u4f46\u5b83\u5e76\u975e\u68c0\u9a8c\u6b63\u6001\u6027\u7684\u4e13\u7528\u65b9\u6cd5\uff0c\u56e0\u6b64\u5b83\u7684\u68c0\u9a8c\u6548\u7387\u662f\u6700\u4f4e\u7684\uff0c\u6700\u5bb9\u6613\u53d7\u6837\u672c\u91cf\u548c\u5f02\u5e38\u503c\u7b49\u56e0\u7d20\u7684\u5f71\u54cd\u3002<\/span>
  <\/span><\/span>\u6ca1\u6709\u4fee\u6b63\u7684<\/span>K-S<\/span>\u68c0\u9a8c\u7684\u539f\u59cb\u516c\u5f0f\u91cc\u9762\uff0c\u68c0\u9a8c\u7684\u65e2\u662f\u6807\u5316\u540e\u7684\u6570\u636e\u662f\u5426\u670d\u4ece\u7406\u8bba\u7684\u5206\u5e03\u3002<\/span><\/strong> <\/span><\/span><\/span><\/p>\n
\u6b63\u6001\u6027\u68c0\u9a8c\uff08\u4e0a\uff09 <\/p>\n
2008-04-25 10:45 <\/p>\n
\n\n\n\n  <\/colgroup>\n\n\n
\n
1. \u6837\u672c\u91cf\u8f83\u5927\u65f6\u7684\u7ed3\u679c\uff1a <\/p>\n
\u8fd0\u7528\u7684\u6570\u636e\u662fSPSS13.0Data\u91cc\u9762\u7684diameter_sub.sav\uff0c\u6837\u672c\u542b\u91cf\u662f216 <\/p>\n
\u5bf9\u6570\u636e\u5206\u522b\u652f\u7528SAS\u548cSPSS\u8fdb\u884c\u6b63\u6001\u6027\u68c0\u9a8c\uff1a <\/p>\n
1.1 SAS\u4e2d\u7528Proc univariate normal;\u547d\u4ee4 <\/p>\n
\u7ed3\u679c\u5982\u4e0b\uff1a <\/p>\n
Tests for Normality<\/span> <\/p>\n
Test --Statistic--- -----p Value------<\/span> <\/p>\n
Shapiro-Wilk W 0. Pr < W 0.4813<\/span> <\/p>\n
Kolmogorov-Smirnov D 0.057717 Pr > D 0.0789<\/span> <\/p>\n
\u5176\u4e2dSAS\u4e2dSAS <\/span>\u89c4\u5b9a:<\/span>\u5f53\u6837\u672c\u542b\u91cfn <\/span>\u22642000 <\/span>\u65f6,<\/span>\u7ed3\u679c\u4ee5Shapiro - Wilk (W <\/span>\u68c0\u9a8c) <\/span>\u4e3a\u51c6,<\/span>\u5f53\u6837\u672c\u542b\u91cfn >2000 <\/span>\u65f6,<\/span>\u7ed3\u679c\u4ee5Kolmogorov - Smirnov (D <\/span>\u68c0\u9a8c) <\/span>\u4e3a\u51c6\u3002 <\/p>\n
1.2 SPSS\u91cc\u9762\u7528Explor\u8fc7\u7a0bPlots\u9009\u9879\u4e2dNormality Plots with tests <\/p>\n
\u7ed3\u679c\u5982\u4e0b\uff1a <\/p>\n
    Tests of Normality<\/strong><\/span> <\/p>\n
\n\n\n\n\n\n\n\n\n\n       <\/colgroup>\n\n\n\n\n
 <\/td>\n\n
Kolmogorov-Smirnov(a)<\/span><\/p>\n<\/td>\n
\n
Shapiro-Wilk<\/span><\/p>\n<\/td>\n<\/tr>\n
\n
Statistic<\/span><\/p>\n<\/td>\n
\n
df<\/span><\/p>\n<\/td>\n
\n
Sig.<\/span><\/p>\n<\/td>\n
\n
Statistic<\/span><\/p>\n<\/td>\n
\n
df<\/span><\/p>\n<\/td>\n
\n
Sig.<\/span><\/p>\n<\/td>\n<\/tr>\n
\n
AP diameter(mm)<\/span><\/p>\n<\/td>\n
\n
.058<\/span><\/p>\n<\/td>\n
\n
216<\/span><\/p>\n<\/td>\n
\n
.070<\/span><\/p>\n<\/td>\n
\n
.994<\/span><\/p>\n<\/td>\n
\n
216<\/span><\/p>\n<\/td>\n
\n
.476<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/div>\n
a Lilliefors Significance Correction<\/span> <\/p>\n
\u5bf9\u4e8eSPSS\u7ed3\u679c\u9009\u7528\u54ea\u4e2a\u65b9\u6cd5\uff0c\u6211\u770b\u7684\u8d44\u6599\u5e76\u4e0d\u4e00\u81f4\uff1a\u5728SPSS13.0\u4e66\u4e0a\u4ee5\u6837\u672c\u91cf\u226450\uff0c\u9009Shapiro - Wilk \u68c0\u9a8c\uff0c\uff08\u800c\u6709\u6587\u732eSPSS<\/span>\u8bf4\u6837\u672c\u542b\u91cf3 <\/span>\u2264n <\/span>\u22645000 <\/span> \u65f6,<\/span>\u7ed3\u679c\u4ee5Shapiro - Wilk (W <\/span>\u68c0\u9a8c) <\/span>\u4e3a\u51c6\uff0c\u6709\u51fa\u5165\uff09 <\/p>\n
1.3 \u5728SPSS13.0\u4e2d\u5355\u6837\u672c\u7684K-S\u62df\u5408\u4f18\u5ea6\u68c0\u9a8c\u8bb2\u5230\uff1a\u53ef\u4ee5\u7528\u6765\u68c0\u9a8c\u6837\u672c\u7684\u5206\u5e03\u662f\u5426\u670d\u4ece\u67d0\u79cd\u7406\u8bba\u5206\u5e03\u2015\u2015\u53ef\u4ee5\u662f\u6b63\u6001\u3001\u5747\u5300\u7b49\u3002\u7528\u4e0a\u8ff0\u4f8b\u5b50\u9009Normal\u5206\u5e03\u8fdb\u884c\u8ba1\u7b97 <\/p>\n
\u7ed3\u679c\u5982\u4e0b\uff1a <\/p>\n
    One-Sample Kolmogorov-Smirnov Test<\/strong><\/span> <\/p>\n
\n\n\n\n\n\n       <\/colgroup>\n\n\n\n\n\n\n\n\n\n\n
  <\/td>\n\n
AP diameter(mm)<\/span><\/p>\n<\/td>\n<\/tr>\n
\n
N<\/span><\/p>\n<\/td>\n
\n
216<\/span><\/p>\n<\/td>\n<\/tr>\n
\n
Normal Parameters(a,b)<\/span><\/p>\n<\/td>\n
\n
Mean<\/span><\/p>\n<\/td>\n
\n
14.4421<\/span><\/p>\n<\/td>\n<\/tr>\n
\n
Std. Deviation<\/span><\/p>\n<\/td>\n
\n
.71728<\/span><\/p>\n<\/td>\n<\/tr>\n
\n
Most Extreme Differences<\/span><\/p>\n<\/td>\n
\n
Absolute<\/span><\/p>\n<\/td>\n
\n
.058<\/span><\/p>\n<\/td>\n<\/tr>\n
\n
Positive<\/span><\/p>\n<\/td>\n
\n
.032<\/span><\/p>\n<\/td>\n<\/tr>\n
\n
Negative<\/span><\/p>\n<\/td>\n
\n
-.058<\/span><\/p>\n<\/td>\n<\/tr>\n
\n
Kolmogorov-Smirnov Z<\/span><\/p>\n<\/td>\n
\n
.859<\/span><\/p>\n<\/td>\n<\/tr>\n
\n
Asymp. Sig. (2-tailed)<\/span><\/p>\n<\/td>\n
\n
.451<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/div>\n
a Test distribution is Normal.<\/span> <\/p>\n
b Calculated from data.<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n","protected":false},"excerpt":{"rendered":"\u6570\u636e\u7684\u6b63\u6001\u6027\u68c0\u9a8c\u6c47\u603b\u600e\u4e48\u505a_\u68c0\u9a8c\u6570\u636e\u4e00\u3001\u56fe\u793a\u6cd51\u3001P-P\u56fe\u4ee5\u6837\u672c\u7684\u7d2f\u8ba1\u9891\u7387\u4f5c\u4e3a\u6a2a\u5750\u6807\uff0c\u4ee5\u5b89\u88c5\u6b63\u6001\u5206\u5e03\u8ba1\u7b97\u7684\u76f8\u5e94\u7d2f\u8ba1\u6982\u7387\u4f5c\u4e3a...","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"_links":{"self":[{"href":"https:\/\/mushiming.com\/wp-json\/wp\/v2\/posts\/5332"}],"collection":[{"href":"https:\/\/mushiming.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mushiming.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mushiming.com\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/mushiming.com\/wp-json\/wp\/v2\/comments?post=5332"}],"version-history":[{"count":0,"href":"https:\/\/mushiming.com\/wp-json\/wp\/v2\/posts\/5332\/revisions"}],"wp:attachment":[{"href":"https:\/\/mushiming.com\/wp-json\/wp\/v2\/media?parent=5332"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mushiming.com\/wp-json\/wp\/v2\/categories?post=5332"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mushiming.com\/wp-json\/wp\/v2\/tags?post=5332"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}