{"id":534,"date":"2018-07-23T20:57:00","date_gmt":"2018-07-23T11:57:00","guid":{"rendered":"https:\/\/best-biostatistics.com\/toukei-er\/entry\/how-many-subjects-should-we-do-the-questionnaire\/"},"modified":"2024-10-13T22:28:18","modified_gmt":"2024-10-13T13:28:18","slug":"how-many-subjects-should-we-do-the-questionnaire","status":"publish","type":"post","link":"https:\/\/best-biostatistics.com\/toukei-er\/entry\/how-many-subjects-should-we-do-the-questionnaire\/","title":{"rendered":"\u30a2\u30f3\u30b1\u30fc\u30c8\u8abf\u67fb\u306b\u306f\u4f55\u4eba\u4ee5\u4e0a\u5fc5\u8981\u304b R \u3067\u8a08\u7b97\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"\n

\u30a2\u30f3\u30b1\u30fc\u30c8\u8abf\u67fb\u306b\u306f\u4f55\u4eba\u4ee5\u4e0a\u5fc5\u8981\u304b<\/p>\n\n\n\n\n\n\n\n

\u30a2\u30f3\u30b1\u30fc\u30c8\u8abf\u67fb\u306b\u306f\u4f55\u4eba\u4ee5\u4e0a\u5fc5\u8981\u304b \u7121\u9650\u6bcd\u96c6\u56e3\u306e\u5834\u5408<\/h2>\n\n\n\n

\u3088\u304f\u3042\u308b\u8cea\u554f\u3002<\/p>\n\n\n\n

\u300c\u30a2\u30f3\u30b1\u30fc\u30c8\u8abf\u67fb\u306f\u4f55\u4eba\u306b\u3068\u3063\u305f\u3089\u3088\u3044\u3067\u3057\u3087\u3046\u304b\u3002\u300d<\/p>\n\n\n\n

\u300c\u4e16\u8ad6\u8abf\u67fb\u306e\u30b5\u30f3\u30d7\u30eb\u6570\u306f\u672c\u5f53\u306b\u610f\u5473\u304c\u3042\u308b\u306e\u3067\u3057\u3087\u3046\u304b\u3002\u300d<\/p>\n\n\n\n

\u300c\u8996\u8074\u7387\u8abf\u67fb\u306e\u30b5\u30f3\u30d7\u30eb\u6570\u306f\u3069\u3046\u3084\u3063\u3066\u6c7a\u3081\u3066\u3044\u308b\u306e\u3067\u3057\u3087\u3046\u304b\u3002\u300d<\/p>\n\n\n\n

\u30a2\u30f3\u30b1\u30fc\u30c8\u8abf\u67fb\u3068\u306f\u3001\u5927\u4f53\u306b\u304a\u3044\u3066\u5272\u5408\u304c\u8a08\u7b97\u3055\u308c\u308b\u3002<\/p>\n\n\n\n

\u4f55\u3005\u306b\u3064\u3044\u3066\u8cdb\u6210\u304b\u53cd\u5bfe\u304b\uff1f<\/p>\n\n\n\n

\u8cdb\u6210\u306e\u5272\u5408\u304c\u4f55\uff05\u3001\u53cd\u5bfe\u304c\u4f55\uff05\u306a\u3069\u3002<\/p>\n\n\n\n

\u3060\u304b\u3089\u3001\u5272\u5408\u3092\u898b\u7a4d\u3082\u308b\u30b5\u30f3\u30d7\u30eb\u6570\u8a08\u7b97\u304c\u9069\u5207\u3002<\/p>\n\n\n\n

\u6bcd\u96c6\u56e3\u306e\u5272\u5408\u3092\u63a8\u5b9a\u3059\u308b\u30b5\u30f3\u30d7\u30eb\u6570\u8a08\u7b97\u306f\u4e8c\u901a\u308a\u3042\u308b\u3002<\/p>\n\n\n

\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\u3042\u308f\u305b\u3066\u8aad\u307f\u305f\u3044<\/span>\n\t\t\t\t\t
\"\"<\/figure><\/div>\t\t\t\t\t
\n\t\t\t\t\t\tR \u3067\u5272\u5408\u306e\u63a8\u5b9a\u30fb\u691c\u5b9a\u306b\u5fc5\u8981\u306a\u30b5\u30f3\u30d7\u30eb\u6570\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/a>\n\t\t\t\t\t\t\u5272\u5408\u306b\u95a2\u3059\u308b\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u8a08\u7b97\u306e\u65b9\u6cd5 \u63a8\u5b9a\u7cbe\u5ea6\u3068\u691c\u5b9a\u306e 2 \u7a2e\u985e\u3042\u308a \u63a8\u5b9a\u7cbe\u5ea6\u306b\u57fa\u3065\u304f\u65b9\u6cd5 \u76f8\u5bfe\u7cbe\u5ea6delta\u3067\uff0c\u5272\u5408\u3092\u63a8\u5b9a\u3059\u308b\u969b\u306e\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u8a08\u7b97\u306f\u3001\u4ee5\u4e0b\u306e\u3088\u3046\u306a R…<\/span>\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\n\n\n\n\n\n

\u63a8\u5b9a\u7cbe\u5ea6\u304b\u3089\u898b\u7a4d\u3082\u308b\u65b9\u6cd5\u3068\u3001\u691c\u5b9a\u304b\u3089\u898b\u7a4d\u3082\u308b\u65b9\u6cd5\u304c\u3042\u308b\u3002<\/p>\n\n\n\n

\u691c\u5b9a\u304b\u3089\u898b\u7a4d\u3082\u308b\u65b9\u6cd5\u306f\u3001\u6bd4\u8f03\u3059\u308b\u76f8\u624b\u3001\u3064\u307e\u308a\u6bcd\u96c6\u56e3\u306e\u5272\u5408\u304c\u5fc5\u8981\u3067\u3001\u305d\u308c\u306f\u901a\u5e38\u4e0d\u660e\u3002<\/p>\n\n\n\n

\u3086\u3048\u306b\u3001\u63a8\u5b9a\u7cbe\u5ea6\u304b\u3089\u898b\u7a4d\u3082\u308b\u306e\u304c\u7121\u96e3\u3060\u3002<\/p>\n\n\n\n

\u5b9f\u306f\u3001Yes\u3068\u56de\u7b54\u3059\u308b\u5272\u5408\u304c50%\u3068\u8003\u3048\u305f\u6642\u304c\u3001\u3082\u3063\u3068\u3082\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u304c\u5927\u304d\u304f\u306a\u308b\u3002<\/p>\n\n\n\n

\u3082\u3063\u3068\u3082\u7121\u96e3\u306a\u306e\u306f\u3001\u5272\u5408\u304c50%\u3068\u306a\u308b\u3068\u60f3\u5b9a\u3057\u3066\u3001\u6700\u5927\u306e\u30b5\u30f3\u30d7\u30eb\u6570\u3092\u8a08\u7b97\u3057\u3066\u304a\u304f\u3053\u3068\u3060\u3002<\/p>\n\n\n\n

R \u3067\u30b9\u30af\u30ea\u30d7\u30c8\u3092\u66f8\u304f\u3068\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u306a\u308b\u3002<\/p>\n\n\n\n

inf.pop.prop.samplesize <-<\/span>\nfunction<\/span>(<\/span>p=<\/span>NULL<\/span>,<\/span> delta=<\/span>NULL<\/span>,<\/span> conf.level=<\/span>0.95<\/span>){<\/span>\nn <-<\/span> qnorm<\/span>((<\/span>1<\/span>-<\/span>conf.level)<\/span>\/<\/span>2<\/span>,<\/span> lower.tail=<\/span>F<\/span>)<\/span>^<\/span>2<\/span>*<\/span>p*<\/span>(<\/span>1<\/span>-<\/span>p)<\/span>\/<\/span>delta^<\/span>2<\/span>\nMETHOD <-<\/span> \"Sample size estimated (infinite population)\"<\/span>\nstructure<\/span>(<\/span>list<\/span>(<\/span>\"Sample size needed\"<\/span>=<\/span>n,<\/span>\n\"Population proportion\"<\/span>=<\/span>p,<\/span>\n\"Diff. b\/w mean to limit\"<\/span>=<\/span>delta,<\/span> \"Confidence level\"<\/span>=<\/span>conf.level,<\/span>\nmethod=<\/span>METHOD),<\/span> class=<\/span>\"power.htest\"<\/span>)<\/span>\n}<\/span>\n<\/code><\/pre>\n\n\n\n
\u4f8b\u3048\u3070\u3001\u5272\u5408\u304c50%\u3067\u3001\u63a8\u5b9a\u7cbe\u5ea6\u3067\u3042\u308b95%\u4fe1\u983c\u533a\u9593\u304c\u00b15%\u3068\u306a\u308b\u3088\u3046\u306b\u3001\u30b5\u30f3\u30d7\u30eb\u6570\u306e\u8a08\u7b97\u3092\u3059\u308b\u3068\u3001\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u306a\u308b\u3002<\/p>\n\n\n\n
inf.pop.prop.samplesize<\/span>(<\/span>p=<\/span>0.5<\/span>,<\/span> delta=<\/span>0.05<\/span>)<\/span>\n<\/code><\/pre>\n\n\n\n
\u7d50\u679c\u306f385\u4eba\u5fc5\u8981\u3068\u51fa\u308b\u3002<\/p>\n\n\n\n
><\/span> inf.pop.prop.samplesize<\/span>(<\/span>p=<\/span>0.5<\/span>,<\/span> delta=<\/span>0.05<\/span>)<\/span>\nSample size estimated <\/span>(<\/span>infinite population)<\/span>\nSample size needed =<\/span> 384.1459<\/span>\nPopulation proportion =<\/span> 0.5<\/span>\nDiff. b\/<\/span>w mean to limit =<\/span> 0.05<\/span>\nConfidence level =<\/span> 0.95<\/span>\n<\/code><\/pre>\n\n\n
\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\u3042\u308f\u305b\u3066\u8aad\u307f\u305f\u3044<\/span>\n\t\t\t\t\t
\"\"<\/figure><\/div>\t\t\t\t\t
\n\t\t\t\t\t\tR \u3067\u5272\u5408\u306e\u63a8\u5b9a\u30fb\u691c\u5b9a\u306b\u5fc5\u8981\u306a\u30b5\u30f3\u30d7\u30eb\u6570\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/a>\n\t\t\t\t\t\t\u5272\u5408\u306b\u95a2\u3059\u308b\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u8a08\u7b97\u306e\u65b9\u6cd5 \u63a8\u5b9a\u7cbe\u5ea6\u3068\u691c\u5b9a\u306e 2 \u7a2e\u985e\u3042\u308a \u63a8\u5b9a\u7cbe\u5ea6\u306b\u57fa\u3065\u304f\u65b9\u6cd5 \u76f8\u5bfe\u7cbe\u5ea6delta\u3067\uff0c\u5272\u5408\u3092\u63a8\u5b9a\u3059\u308b\u969b\u306e\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u8a08\u7b97\u306f\u3001\u4ee5\u4e0b\u306e\u3088\u3046\u306a R…<\/span>\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\n\n\n\n\n\n
\u4e0a\u8a18\u306e\u8a18\u4e8b\u306e\u30b9\u30af\u30ea\u30d7\u30c8\u3092\u4f7f\u3063\u3066\u8a08\u7b97\u3057\u3066\u307f\u308b\u3002<\/p>\n\n\n\n
myPsize <-<\/span> function<\/span>(<\/span>p,<\/span>delta){<\/span>\nn <-<\/span> 4<\/span>*<\/span>(<\/span>1<\/span>-<\/span>p)<\/span>\/<\/span>(<\/span>p*<\/span>delta^<\/span>2<\/span>)<\/span>\nc<\/span>(<\/span>\"N at least\"<\/span>=<\/span>n)<\/span>\n}<\/span>\nmyPsize<\/span>(<\/span>p=<\/span>0.5<\/span>,<\/span> delta=<\/span>0.1<\/span>)<\/span>\n<\/code><\/pre>\n\n\n\n
\u3053\u3061\u3089\u306edelta\u306f\u76f8\u5bfe\u7cbe\u5ea6\u306a\u306e\u3067\u300150%\u306b\u5bfe\u3057\u3066\u00b15%\u306f\u3001\u76f8\u5bfe\u7cbe\u5ea6\u00b110%\u3060\u3002<\/p>\n\n\n\n
\u7d50\u679c\u306f400\u4f8b\u3068\u8a08\u7b97\u3055\u308c\u305f\u3002<\/p>\n\n\n\n
><\/span> myPsize<\/span>(<\/span>p=<\/span>0.5<\/span>,<\/span> delta=<\/span>0.1<\/span>)<\/span>\nN at least\n400<\/span>\n<\/code><\/pre>\n\n\n\n
\u3061\u3087\u3063\u3068\u305a\u308c\u305f\u304c\u3001\u304a\u304a\u3088\u305d\u540c\u3058\u7d50\u679c\u3060\u3002<\/p>\n\n\n\n
\u4e8c\u9805\u5206\u5e03\u3067\u78ba\u8a8d\u3057\u3066\u307f\u308b\u3068\u300195%\u4fe1\u983c\u533a\u9593\u306f\u3001\u78ba\u304b\u306b45%\uff5e55%\u3067\u3042\u308b\u306e\u304c\u308f\u304b\u308b\u3002<\/p>\n\n\n\n
><\/span> binom.test<\/span>(<\/span>round<\/span>(<\/span>385<\/span>*<\/span>0.5<\/span>),<\/span> 385<\/span>)<\/span>\nExact binomial test\ndata:<\/span>  round<\/span>(<\/span>385<\/span> *<\/span> 0.5<\/span>)<\/span> and 385<\/span>\nnumber of successes =<\/span> 192<\/span>,<\/span> number of trials =<\/span> 385<\/span>,<\/span> p-<\/span>value =<\/span> 1<\/span>\nalternative hypothesis:<\/span> true probability of success is not equal to 0.5<\/span>\n95<\/span> percent confidence interval:<\/span>\n0.4476347<\/span> 0.5497880<\/span>\nsample estimates:<\/span>\nprobability of success\n0.4987013<\/span>\n<\/code><\/pre>\n\n\n\n
\u4f8b\u3048\u3070\u3001\u8996\u8074\u7387\u8abf\u67fb\u306f300\u4e16\u5e2f\u3092\u7528\u3044\u3066\u3044\u308b\u304c\u3001\u305d\u306e\u6642\u306e\u59a5\u5f53\u6027\u3092\u8003\u3048\u3066\u307f\u308b\u3068\u3001\u8996\u8074\u738725%\u3092\u00b15%\u3067\u63a8\u5b9a\u3059\u308b\u305f\u3081\u306b\u306f\u3001289\u4e16\u5e2f\u3067\u3088\u3044\u3068\u3044\u3046\u7d50\u679c\u306b\u306a\u308b\u3002<\/p>\n\n\n\n
\u306a\u306e\u3067\u3001300\u4e16\u5e2f\u3067\u5341\u5206\u306a\u306e\u3060\u3002<\/p>\n\n\n\n
><\/span> inf.pop.prop.samplesize<\/span>(<\/span>p=<\/span>0.25<\/span>,<\/span> delta=<\/span>0.05<\/span>)<\/span>\nSample size estimated <\/span>(<\/span>infinite population)<\/span>\nSample size needed =<\/span> 288.1094<\/span>\nPopulation proportion =<\/span> 0.25<\/span>\nDiff. b\/<\/span>w mean to limit =<\/span> 0.05<\/span>\nConfidence level =<\/span> 0.95<\/span>\n<\/code><\/pre>\n\n\n\n
\u5ff5\u306e\u305f\u3081\u4e8c\u9805\u5206\u5e03\u3067\u78ba\u8a8d\u3059\u308b\u3068\u300195%\u4fe1\u983c\u533a\u9593\u306f20%\uff5e30%\u3068\u306a\u3063\u3066\u3044\u308b\u3002<\/p>\n\n\n\n
><\/span> binom.test<\/span>(<\/span>round<\/span>(<\/span>289<\/span>*<\/span>0.25<\/span>),<\/span> 289<\/span>)<\/span>\nExact binomial test\ndata:<\/span>  round<\/span>(<\/span>289<\/span> *<\/span> 0.25<\/span>)<\/span> and 289<\/span>\nnumber of successes =<\/span> 72<\/span>,<\/span> number of trials =<\/span> 289<\/span>,<\/span> p-<\/span>value <<\/span> 2.2e-16<\/span>\nalternative hypothesis:<\/span> true probability of success is not equal to 0.5<\/span>\n95<\/span> percent confidence interval:<\/span>\n0.2003403<\/span> 0.3031545<\/span>\nsample estimates:<\/span>\nprobability of success\n0.2491349<\/span>\n<\/code><\/pre>\n\n\n\n
\u30a2\u30f3\u30b1\u30fc\u30c8\u8abf\u67fb\u306b\u306f\u4f55\u4eba\u4ee5\u4e0a\u5fc5\u8981\u304b \u6709\u9650\u6bcd\u96c6\u56e3\u306e\u5834\u5408<\/h2>\n\n\n\n
\u6b21\u306b\u3088\u304f\u3042\u308b\u8cea\u554f\u3068\u3057\u3066\u3001<\/p>\n\n\n\n
\u300c\u5168\u4f53\u4f55\u4eba\u306e\u3046\u3061\u4f55\u4eba\u306b\u30a2\u30f3\u30b1\u30fc\u30c8\u8abf\u67fb\u3092\u3057\u305f\u3089\u3088\u3044\u306e\u3067\u3057\u3087\u3046\u304b\u3002\u300d<\/p>\n\n\n\n
\u3068\u3044\u3046\u3082\u306e\u3002<\/p>\n\n\n\n
\u6709\u9650\u6bcd\u96c6\u56e3\u306e\u30b5\u30f3\u30d7\u30eb\u6570\u8a08\u7b97\u3002<\/p>\n\n\n\n
\u5168\u4f53\u4f55\u4eba\u306e\u3046\u3061\u3001\u4f55\u4eba\u8abf\u67fb\u3057\u305f\u3089\u3044\u3044\u304b\u3068\u3044\u3046\u8cea\u554f\u306b\u5bfe\u3059\u308b\u3001R \u306e\u30b9\u30af\u30ea\u30d7\u30c8\u306f\u4ee5\u4e0b\u306e\u901a\u308a\u3002<\/p>\n\n\n\n
finite.pop.prop.samplesize <-<\/span>\nfunction<\/span>(<\/span>p=<\/span>NULL<\/span>,<\/span> delta=<\/span>NULL<\/span>,<\/span> N=<\/span>NULL<\/span>,<\/span> conf.level=<\/span>0.95<\/span>){<\/span>\nn <-<\/span> N\/<\/span>((<\/span>delta\/<\/span>qnorm<\/span>((<\/span>1<\/span>-<\/span>conf.level)<\/span>\/<\/span>2<\/span>,<\/span> lower.tail=<\/span>F<\/span>))<\/span>^<\/span>2<\/span>\n*<\/span>((<\/span>N-<\/span>1<\/span>)<\/span>\/<\/span>(<\/span>p*<\/span>(<\/span>1<\/span>-<\/span>p)))<\/span>+<\/span>1<\/span>)<\/span>\nMETHOD <-<\/span> \"Sample size estimated (finite population)\"<\/span>\nstructure<\/span>(<\/span>list<\/span>(<\/span>\"Sample size needed\"<\/span>=<\/span>n,<\/span>\n\"Popluation proportion\"<\/span>=<\/span>p,<\/span> \"Diff. b\/w mean to limit\"<\/span>=<\/span>delta,<\/span>\n\"Confidence level\"<\/span>=<\/span>conf.level,<\/span> method=<\/span>METHOD),<\/span>\nclass=<\/span>\"power.htest\"<\/span>)<\/span>\n}<\/span>\n<\/code><\/pre>\n\n\n\n
\u6709\u9650\u6bcd\u96c6\u56e3\u304c30,000\u4eba\u3068\u3057\u3066\u3001\u6bcd\u6bd4\u73870.5\u3001\u63a8\u5b9a\u7cbe\u5ea6\u304c95%\u4fe1\u983c\u533a\u9593\u3092\u00b10.05\u3068\u3059\u308b\u3068\u3001380\u4eba\u5fc5\u8981\u3068\u8a08\u7b97\u3055\u308c\u308b\u3002<\/p>\n\n\n\n
><\/span> finite.pop.prop.samplesize<\/span>(<\/span>p=<\/span>0.5<\/span>,<\/span> delta=<\/span>0.05<\/span>,<\/span> N=<\/span>30000<\/span>)<\/span>\nSample size estimated <\/span>(<\/span>finite population)<\/span>\nSample size needed =<\/span> 379.3016<\/span>\nPopluation proportion =<\/span> 0.5<\/span>\nDiff. b\/<\/span>w mean to limit =<\/span> 0.05<\/span>\nConfidence level =<\/span> 0.95<\/span>\n<\/code><\/pre>\n\n\n\n
\u5148\u307b\u3069\u306e\u7121\u9650\u6bcd\u96c6\u56e3\u306e385\u4eba\u304b\u30895\u4eba\u6e1b\u3063\u305f\u3002<\/p>\n\n\n\n
\u6bcd\u96c6\u56e3\u304c30,000\u4eba\u3068\u306a\u308b\u3068\u7121\u9650\u6bcd\u96c6\u56e3\u3068\u5927\u3057\u3066\u5909\u308f\u3089\u306a\u3044\u3053\u3068\u304c\u308f\u304b\u308b\u3002<\/p>\n\n\n\n
\u6bcd\u96c6\u56e3\u306e\u30b5\u30a4\u30ba\u3092100\u5206\u306e1\u306e300\u4eba\u306b\u3059\u308b\u3068\u3001169\u4eba\u3067\u3088\u304f\u306a\u308b\u3002<\/p>\n\n\n\n
><\/span> finite.pop.prop.samplesize<\/span>(<\/span>p=<\/span>0.5<\/span>,<\/span> delta=<\/span>0.05<\/span>,<\/span> N=<\/span>300<\/span>)<\/span>\nSample size estimated <\/span>(<\/span>finite population)<\/span>\nSample size needed =<\/span> 168.6957<\/span>\nPopluation proportion =<\/span> 0.5<\/span>\nDiff. b\/<\/span>w mean to limit =<\/span> 0.05<\/span>\nConfidence level =<\/span> 0.95<\/span>\n<\/code><\/pre>\n\n\n\n
\u305f\u3060\u3057\u3001\u6bcd\u96c6\u56e3\u304c\u305f\u3063\u305f\u306e300\u4eba\u3057\u304b\u3044\u306a\u3044\u306e\u306b\u3001169\u4eba\u3092\u96c6\u3081\u308b\u306b\u306f\u76f8\u5f53\u306e\u82e6\u52b4\u304c\u5fc5\u8981\u306b\u306a\u308b\u3002<\/p>\n\n\n\n
\u9006\u306b\u3001\u3053\u306e\u5c0f\u3055\u3044\u6bcd\u96c6\u56e3\u306b\u3057\u304b\u9069\u7528\u3067\u304d\u306a\u3044\u7d50\u679c\u306f\u3001\u3069\u3046\u3044\u3046\u610f\u5473\u5408\u3044\u304b\uff1f<\/p>\n\n\n\n
\u610f\u5473\u5408\u3044\u304c\u9650\u5b9a\u3055\u308c\u308b\u3002<\/p>\n\n\n\n
300\u4eba\u306e\u6bcd\u96c6\u56e3\u306b\u3057\u304b\u95a2\u4fc2\u306e\u306a\u3044\u8a71\u306b\u4f7f\u3046\u5834\u5408\u306b\u306f\u3068\u3066\u3082\u3088\u3044\u3002<\/p>\n\n\n\n
300\u4eba\u5168\u54e1\u3092\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u3057\u306a\u304f\u3066\u3082169\u4eba\u3060\u3051\u3067\u3044\u3044\u306e\u3060\u304b\u3089\u3002<\/p>\n\n\n\n
\uff1e\uff1e\u3082\u3046\u7d71\u8a08\u3067\u60a9\u3080\u306e\u306f\u7d42\u308f\u308a\u306b\u3057\u307e\u305b\u3093\u304b\uff1f\u00a0<\/a><\/strong><\/span><\/p>\r\n\"\"<\/a>\r\n
\u21911\u4e07\u4eba\u4ee5\u4e0a\u306e\u533b\u7642\u5f93\u4e8b\u8005\u304c\u8cfc\u8aad\u4e2d<\/span><\/strong><\/span><\/p><\/div>
\u30a2\u30f3\u30b1\u30fc\u30c8\u8abf\u67fb\u306b\u306f\u4f55\u4eba\u4ee5\u4e0a\u5fc5\u8981\u304b\u3092\u30a8\u30af\u30bb\u30eb\u3067\u8a08\u7b97<\/h2>\n\n\n\n
\u30a8\u30af\u30bb\u30eb\u3067\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u8a08\u7b97\u3059\u308b\u65b9\u6cd5\u3092\u304a\u63a2\u3057\u306a\u3089\u3053\u3061\u3089\u306e\u8a18\u4e8b\u306e\u6700\u4e0b\u6bb5\u3092\u53c2\u7167\u3002<\/p>\n\n\n
\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\u3042\u308f\u305b\u3066\u8aad\u307f\u305f\u3044<\/span>\n\t\t\t\t\t
\"\"<\/figure><\/div>\t\t\t\t\t
\n\t\t\t\t\t\t\u30a2\u30f3\u30b1\u30fc\u30c8\u8abf\u67fb\u306b\u5fc5\u8981\u306a\u30b5\u30f3\u30d7\u30eb\u6570\u3092 R \u3067\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/a>\n\t\t\t\t\t\t\u30a2\u30f3\u30b1\u30fc\u30c8\u8abf\u67fb\u306f\u4f55\u4eba\u306b\u3068\u3063\u305f\u3089\u3044\u3044\u304b\uff1f \u30a2\u30f3\u30b1\u30fc\u30c8\u8abf\u67fb\u306b\u5fc5\u8981\u306a\u30b5\u30f3\u30d7\u30eb\u6570\u306e\u524d\u306b\u30a2\u30f3\u30b1\u30fc\u30c8\u8abf\u67fb\u306e\u76ee\u7684 \u30a2\u30f3\u30b1\u30fc\u30c8\u8abf\u67fb\u306b\u5fc5\u8981\u306a\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u3092\u8003\u3048\u308b\u524d\u306b\u3001\u30a2\u30f3\u30b1\u30fc…<\/span>\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\n\n\n\n\n\n
\u307e\u3068\u3081<\/h2>\n\n\n\n
\u300c\u30a2\u30f3\u30b1\u30fc\u30c8\u8abf\u67fb\u306f\u4f55\u4eba\u304b\u3089\u3068\u3063\u305f\u3089\u3044\u3044\u304b\uff1f\u300d\u3068\u3044\u3046\u8cea\u554f\u306b\u306f\u3001\u7d04400\u4eba\u3068\u7b54\u3048\u308b\u306e\u304c\u7121\u96e3\u306a\u306e\u304c\u5224\u660e\u3057\u305f\u3002<\/p>\n\n\n\n
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