{"id":33955,"date":"2025-07-18T14:34:07","date_gmt":"2025-07-18T05:34:07","guid":{"rendered":"https:\/\/uxdaystokyo.com\/articles\/?post_type=glossary&#038;p=33955"},"modified":"2025-07-18T14:34:07","modified_gmt":"2025-07-18T05:34:07","slug":"false-positive","status":"publish","type":"glossary","link":"https:\/\/uxdaystokyo.com\/articles\/glossary\/false-positive\/","title":{"rendered":"\u507d\u967d\u6027"},"content":{"rendered":"<p data-start=\"166\" data-end=\"272\">\u305f\u3068\u3048\u3070\u3001\u75c5\u6c17\u306e\u691c\u67fb\u3067\u300c\u75c5\u6c17\u3067\u306a\u3044\u4eba\u300d\u3092\u300c\u75c5\u6c17\u3042\u308a\u300d\u3068\u8aa4\u5224\u5b9a\u3059\u308b\u3053\u3068\u304c\u507d\u967d\u6027\u306b\u3042\u305f\u308b\u3002<br \/>\n\u306a\u305c\u8d77\u3053\u308b\u306e\u304b\u3068\u3044\u3046\u3068\u3001p\u5024\u304c\u6709\u610f\u6c34\u6e96\uff08\u4f8b\uff1a0.05\uff09\u3092\u4e0b\u56de\u308b\u3053\u3068\u3092\u3082\u3063\u3066\u300c\u52b9\u679c\u304c\u3042\u308b\u300d\u3068\u5224\u65ad\u3057\u3066\u3044\u305f\u304c\u3001\u5b9f\u969b\u306b\u306f\u5076\u7136\u306b\u3067\u305f\u5834\u5408\u306b\u507d\u967d\u6027\u3068\u306a\u308b\u3002<\/p>\n<p data-start=\"166\" data-end=\"272\">\u7d71\u8a08\u5b66\u3084\u6a5f\u68b0\u5b66\u7fd2\u3001\u533b\u5b66\u691c\u67fb\u306a\u3069\u306b\u304a\u3044\u3066\u3001\u7b2c1\u7a2e\u306e\u904e\u8aa4\uff08Type I error\uff09\u3068\u3082\u547c\u3070\u308c\u308b\u3002<\/p>\n<h2 data-start=\"279\" data-end=\"291\">\u63d0\u5531\u8005\u3068\u6b74\u53f2<\/h2>\n<p data-start=\"293\" data-end=\"507\">\u507d\u967d\u6027\u3068\u3044\u3046\u6982\u5ff5\u306f\u3001<strong data-start=\"303\" data-end=\"355\">\u7d71\u8a08\u7684\u4eee\u8aac\u691c\u5b9a\u306e\u7406\u8ad6\u306e\u4e00\u90e8\u3068\u3057\u3066\u53e4\u304f\u304b\u3089\u5b58\u5728\u3057\u3066\u304a\u308a\u3001\u7279\u5b9a\u306e\u500b\u4eba\u306b\u3088\u3063\u3066\u63d0\u5531\u3055\u308c\u305f\u3082\u306e\u3067\u306f\u306a\u3044\u3002<\/strong><br data-start=\"355\" data-end=\"358\" \/>\u305f\u3060\u3057\u3001<strong data-start=\"362\" data-end=\"386\">\u7b2c1\u7a2e\u306e\u904e\u8aa4\uff08Type I error\uff09<\/strong> \u306e\u67a0\u7d44\u307f\u306f\u3001\u30ed\u30ca\u30eb\u30c9\u30fb\u30d5\u30a3\u30c3\u30b7\u30e3\u30fc\uff08Ronald A. Fisher\uff09\u3001\u30a4\u30a7\u30b8\u30fc\u30fb\u30cd\u30a4\u30de\u30f3\uff08Jerzy Neyman\uff09\u3001\u30a8\u30b4\u30f3\u30fb\u30d4\u30a2\u30bd\u30f3\uff08Egon Pearson\uff09\u3089\u306b\u3088\u3063\u306620\u4e16\u7d00\u524d\u534a\u306b\u78ba\u7acb\u3055\u308c\u305f\u4eee\u8aac\u691c\u5b9a\u7406\u8ad6\u306e\u4e2d\u3067\u4f53\u7cfb\u5316\u3055\u308c\u305f\u3082\u306e\u3067\u3042\u308b\u3002<\/p>\n<ul data-start=\"509\" data-end=\"802\">\n<li data-start=\"509\" data-end=\"613\">\n<p data-start=\"511\" data-end=\"613\">Neyman\u3068Pearson\u306e\u8ad6\u6587\u300cOn the Problem of the Most Efficient Tests of Statistical Hypotheses\uff081933\uff09\u300d\u304c\u7279\u306b\u6709\u540d\u3002<\/p>\n<\/li>\n<\/ul>\n<h2 data-start=\"809\" data-end=\"841\">\u30c7\u30b6\u30a4\u30f3\u4e0a\u306b\u95a2\u308f\u308b\u5229\u7528\u65b9\u6cd5\u3068\u5177\u4f53\u7684\u306a\u4e8b\u4f8b\uff08\u3067\u3042\u308b\u8abf\uff09<\/h2>\n<p data-start=\"843\" 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data-end=\"1002\">\u507d\u967d\u6027\u306b\u3088\u308b\u5224\u65ad\u30df\u30b9\u306e<\/strong>\u53ef\u80fd\u6027\u304c\u3042\u308b\u3002<\/p>\n<p data-start=\"1014\" data-end=\"1125\">\u307e\u305f\u3001\u30d1\u30fc\u30bd\u30ca\u30e9\u30a4\u30ba\u3055\u308c\u305f\u30ec\u30b3\u30e1\u30f3\u30c9\u30b7\u30b9\u30c6\u30e0\u306b\u304a\u3044\u3066\u3001\u300c\u3053\u306e\u30e6\u30fc\u30b6\u30fc\u306f\u3053\u306e\u5546\u54c1\u306b\u8208\u5473\u304c\u3042\u308b\u300d\u3068\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u304c\u5224\u65ad\u3059\u308b\u304c\u3001\u5b9f\u969b\u306b\u306f\u305d\u3046\u3067\u306f\u306a\u304b\u3063\u305f\u5834\u5408\u3082\u507d\u967d\u6027\u306b\u3042\u305f\u308b\u3002\u3053\u306e\u3088\u3046\u306a\u8aa4\u5224\u5b9a\u306f<strong data-start=\"1106\" data-end=\"1119\">\u30e6\u30fc\u30b6\u30fc\u4f53\u9a13\u306e\u52a3\u5316<\/strong>\u306b\u3064\u306a\u304c\u308b\u3002<\/p>\n<h2 data-start=\"1132\" 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data-end=\"1415\">\u5065\u5eb7\u7ba1\u7406\u30a2\u30d7\u30ea\u306b\u304a\u3044\u3066\u3001\u5fc3\u62cd\u6570\u306e\u5909\u5316\u3092\u300c\u7570\u5e38\u300d\u3068\u691c\u77e5\u3057\u30e6\u30fc\u30b6\u30fc\u306b\u8b66\u544a\u3092\u8868\u793a\u3059\u308b\u6a5f\u80fd\u304c\u3042\u308b\u3002<\/p>\n<p data-start=\"1267\" data-end=\"1415\">\u5b9f\u969b\u306b\u306f\u4e00\u6642\u7684\u306a\u904b\u52d5\u306b\u3088\u308b\u3082\u306e\u3067\u5065\u5eb7\u4e0a\u306e\u554f\u984c\u306f\u306a\u304b\u3063\u305f\u5834\u5408\u3001\u3053\u308c\u306f<strong data-start=\"1345\" data-end=\"1356\">\u507d\u967d\u6027\u30a2\u30e9\u30fc\u30c8<\/strong>\u3067\u3042\u308b\u3002<br \/>\n\u3053\u306e\u3088\u3046\u306a\u30b1\u30fc\u30b9\u304c\u983b\u767a\u3059\u308b\u3068\u3001\u30e6\u30fc\u30b6\u30fc\u306f\u901a\u77e5\u3092\u4fe1\u983c\u3057\u306a\u304f\u306a\u308a\u3001\u91cd\u8981\u306a\u7570\u5e38\u306b\u3082\u53cd\u5fdc\u3057\u306a\u304f\u306a\u308b\uff08\uff1d\u30a2\u30e9\u30fc\u30c8\u75b2\u308c\uff09\u3002<\/p>\n<h3 data-start=\"1422\" data-end=\"1443\">\u507d\u967d\u6027 vs \u591a\u91cd\u691c\u5b9a\u554f\u984c<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-33974\" src=\"https:\/\/uxdaystokyo.com\/articles\/wp-content\/uploads\/2025\/07\/chatgpt-image-2025\u5e747\u670817\u65e5-17-41-12-1024x683.png\" alt=\"\" width=\"567\" height=\"378\" srcset=\"https:\/\/uxdaystokyo.com\/articles\/wp-content\/uploads\/2025\/07\/chatgpt-image-2025\u5e747\u670817\u65e5-17-41-12-1024x683.png 1024w, https:\/\/uxdaystokyo.com\/articles\/wp-content\/uploads\/2025\/07\/chatgpt-image-2025\u5e747\u670817\u65e5-17-41-12-300x200.png 300w, https:\/\/uxdaystokyo.com\/articles\/wp-content\/uploads\/2025\/07\/chatgpt-image-2025\u5e747\u670817\u65e5-17-41-12-768x512.png 768w, https:\/\/uxdaystokyo.com\/articles\/wp-content\/uploads\/2025\/07\/chatgpt-image-2025\u5e747\u670817\u65e5-17-41-12.png 1536w\" sizes=\"auto, (max-width: 567px) 100vw, 567px\" \/><\/p>\n<p>\u30cf\u30ba\u30ec\u3092\u3042\u305f\u308a\u3092\u9593\u9055\u3048\u308b\u3053\u3068\uff1a\u507d\u967d\u6027<\/p>\n<p>\u4f55\u56de\u304b\u6570\u591a\u304f\u691c\u8a3c\u3059\u308b\u3068\u5f53\u305f\u308b\u78ba\u7387\u306b\u305f\u307e\u305f\u307e\u5f53\u305f\u3063\u305f\u5834\u5408\u306b\u3001\u3042\u305f\u308a\u3084\u3059\u3044\u3068\u52d8\u9055\u3044\u3059\u308b\u3053\u3068\uff1a\u591a\u91cd\u691c\u5b9a\u554f\u984c<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u672c\u6765\u300c\u967d\u6027\u3067\u306a\u3044\uff08\u9670\u6027\u3067\u3042\u308b\uff09\u300d\u5bfe\u8c61\u306b\u5bfe\u3057\u3066\u3001\u8aa4\u3063\u3066\u300c\u967d\u6027\u300d\u3068\u5224\u5b9a\u3057\u3066\u3057\u307e\u3046\u8aa4\u308a\u306e\u3053\u3068\u3092\u6307\u3059<\/p>\n","protected":false},"author":5,"featured_media":33978,"template":"","meta":{"_monsterinsights_skip_tracking":false,"English":"False Positive","design_hint":"\u898b\u9003\u3057\u3092\u6050\u308c\u3066\u95be\u5024\u3092\u4e0b\u3052\u308c\u3070\u3001\u8aa4\u691c\u77e5\u304c\u7a4d\u307f\u4e0a\u304c\u308b\u3002\u8b66\u544a\u304c\u5916\u308c\u7d9a\u3051\u308b\u3068\u3001\u4eba\u306f\u6b63\u3057\u3044\u8b66\u544a\u307e\u3067\u7121\u8996\u3059\u308b\u3002\u3069\u3061\u3089\u306e\u9593\u9055\u3044\u304c\u9ad8\u304f\u3064\u304f\u304b\u3092\u6c7a\u3081\u308d\u3002","footnotes":""},"glossary-category":[369],"glossary_tag":[],"class_list":["post-33955","glossary","type-glossary","status-publish","has-post-thumbnail","hentry","glossary-category-research-analysis-test"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>\u507d\u967d\u6027 | UX TIMES<\/title>\n<meta name=\"description\" content=\"\u305f\u3068\u3048\u3070\u3001\u75c5\u6c17\u306e\u691c\u67fb\u3067\u300c\u75c5\u6c17\u3067\u306a\u3044\u4eba\u300d\u3092\u300c\u75c5\u6c17\u3042\u308a\u300d\u3068\u8aa4\u5224\u5b9a\u3059\u308b\u3053\u3068\u304c\u507d\u967d\u6027\u306b\u3042\u305f\u308b\u3002 \u306a\u305c\u8d77\u3053\u308b\u306e\u304b\u3068\u3044\u3046\u3068\u3001p\u5024\u304c\u6709\u610f\u6c34\u6e96\uff08\u4f8b\uff1a0.05\uff09\u3092\u4e0b\u56de\u308b\u3053\u3068\u3092\u3082\u3063\u3066\u300c\u52b9\u679c\u304c\u3042\u308b\u300d\u3068\u5224\u65ad\u3057\u3066\u3044\u305f\u304c\u3001\u5b9f\u969b\u306b\u306f\u5076\u7136\u306b\u3067\u305f\u5834\u5408\u306b\u507d\u967d\u6027\u3068\u306a\u308b\u3002 \u7d71\u8a08\u5b66\u3084\u6a5f\u68b0\u5b66\u7fd2\u3001\u533b\u5b66\u691c\u67fb\u306a\u3069\u306b\u304a\u3044\u3066\u3001\u7b2c1\u7a2e\u306e\u904e\u8aa4\uff08Type I error\uff09\u3068\u3082\u547c\u3070\u308c\u308b\u3002  \u63d0\u5531\u8005\u3068\u6b74\u53f2 \u507d\u967d\u6027\u3068\u3044\u3046\u6982\u5ff5\u306f\u3001\u7d71\u8a08\u7684\u4eee\u8aac\u691c\u5b9a\u306e\u7406\u8ad6\u306e\u4e00\u90e8\u3068\u3057\u3066\u53e4\u304f\u304b\u3089\u5b58\u5728\u3057\u3066\u304a\u308a\u3001\u7279\u5b9a\u306e\u500b\u4eba\u306b\u3088\u3063\u3066\u63d0\u5531\u3055\u308c\u305f\u3082\u306e\u3067\u306f\u306a\u3044\u3002\u305f\u3060\u3057\u3001\u7b2c1\u7a2e\u306e\u904e\u8aa4\uff08Type I error\uff09 \u306e\u67a0\u7d44\u307f\u306f\u3001\u30ed\u30ca\u30eb\u30c9\u30fb\u30d5\u30a3\u30c3\u30b7\u30e3\u30fc\uff08Ronald A. Fisher\uff09\u3001\u30a4\u30a7\u30b8\u30fc\u30fb\u30cd\u30a4\u30de\u30f3\uff08Jerzy Neyman\uff09\u3001\u30a8\u30b4\u30f3\u30fb\u30d4\u30a2\u30bd\u30f3\uff08Egon Pearson\uff09\u3089\u306b\u3088\u3063\u306620\u4e16\u7d00\u524d\u534a\u306b\u78ba\u7acb\u3055\u308c\u305f\u4eee\u8aac\u691c\u5b9a\u7406\u8ad6\u306e\u4e2d\u3067\u4f53\u7cfb\u5316\u3055\u308c\u305f\u3082\u306e\u3067\u3042\u308b\u3002     Neyman\u3068Pearson\u306e\u8ad6\u6587\u300cOn the Problem of the Most Efficient Tests of Statistical Hypotheses\uff081933\uff09\u300d\u304c\u7279\u306b\u6709\u540d\u3002   \u30c7\u30b6\u30a4\u30f3\u4e0a\u306b\u95a2\u308f\u308b\u5229\u7528\u65b9\u6cd5\u3068\u5177\u4f53\u7684\u306a\u4e8b\u4f8b\uff08\u3067\u3042\u308b\u8abf\uff09 UX\u8a2d\u8a08\u3084\u30d7\u30ed\u30c0\u30af\u30c8\u958b\u767a\u306b\u304a\u3044\u3066\u3001\u507d\u967d\u6027\u306e\u30ea\u30b9\u30af\u306fA\/B\u30c6\u30b9\u30c8\u3084\u30e6\u30fc\u30b6\u30fc\u884c\u52d5\u5206\u6790\u306b\u304a\u3051\u308b\u8aa4\u5224\u65ad\u306b\u3064\u306a\u304c\u308b\u91cd\u8981\u306a\u554f\u984c\u3067\u3042\u308b\u3002\u305f\u3068\u3048\u3070\u3001UI\u30dc\u30bf\u30f3\u306e\u8272\u3092\u5909\u66f4\u3057\u305f\u969b\u306b\u30011\u9031\u9593\u306e\u30af\u30ea\u30c3\u30af\u7387\u4e0a\u6607\u3092\u300c\u6539\u5584\u52b9\u679c\u304c\u3042\u3063\u305f\u300d\u3068\u8aa4\u3063\u3066\u5224\u65ad\u3059\u308b\u30b1\u30fc\u30b9\u304c\u3042\u308b\u3002 \u3057\u304b\u3057\u3001\u3053\u308c\u306f\u4e00\u6642\u7684\u306a\u3070\u3089\u3064\u304d\u306b\u904e\u304e\u305a\u3001\u507d\u967d\u6027\u306b\u3088\u308b\u5224\u65ad\u30df\u30b9\u306e\u53ef\u80fd\u6027\u304c\u3042\u308b\u3002 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\u533b\u7642\u30fb\u5065\u5eb7\u30a2\u30d7\u30ea\u306b\u304a\u3051\u308b\u30ea\u30b9\u30af\u901a\u77e5  \u30a2\u30f3\u30b1\u30fc\u30c8\u7d50\u679c\u306e\u5206\u6790\uff08\u611f\u60c5\u5206\u6790\u306a\u3069\uff09  \u5177\u4f53\u7684\u4e8b\u4f8b\uff1a \u5065\u5eb7\u7ba1\u7406\u30a2\u30d7\u30ea\u306b\u304a\u3044\u3066\u3001\u5fc3\u62cd\u6570\u306e\u5909\u5316\u3092\u300c\u7570\u5e38\u300d\u3068\u691c\u77e5\u3057\u30e6\u30fc\u30b6\u30fc\u306b\u8b66\u544a\u3092\u8868\u793a\u3059\u308b\u6a5f\u80fd\u304c\u3042\u308b\u3002 \u5b9f\u969b\u306b\u306f\u4e00\u6642\u7684\u306a\u904b\u52d5\u306b\u3088\u308b\u3082\u306e\u3067\u5065\u5eb7\u4e0a\u306e\u554f\u984c\u306f\u306a\u304b\u3063\u305f\u5834\u5408\u3001\u3053\u308c\u306f\u507d\u967d\u6027\u30a2\u30e9\u30fc\u30c8\u3067\u3042\u308b\u3002 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href=\"https:\/\/uxdaystokyo.com\/articles\/glossary\/false-positive\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u507d\u967d\u6027 | UX TIMES\" \/>\n<meta property=\"og:description\" content=\"\u305f\u3068\u3048\u3070\u3001\u75c5\u6c17\u306e\u691c\u67fb\u3067\u300c\u75c5\u6c17\u3067\u306a\u3044\u4eba\u300d\u3092\u300c\u75c5\u6c17\u3042\u308a\u300d\u3068\u8aa4\u5224\u5b9a\u3059\u308b\u3053\u3068\u304c\u507d\u967d\u6027\u306b\u3042\u305f\u308b\u3002 \u306a\u305c\u8d77\u3053\u308b\u306e\u304b\u3068\u3044\u3046\u3068\u3001p\u5024\u304c\u6709\u610f\u6c34\u6e96\uff08\u4f8b\uff1a0.05\uff09\u3092\u4e0b\u56de\u308b\u3053\u3068\u3092\u3082\u3063\u3066\u300c\u52b9\u679c\u304c\u3042\u308b\u300d\u3068\u5224\u65ad\u3057\u3066\u3044\u305f\u304c\u3001\u5b9f\u969b\u306b\u306f\u5076\u7136\u306b\u3067\u305f\u5834\u5408\u306b\u507d\u967d\u6027\u3068\u306a\u308b\u3002 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Fisher\uff09\u3001\u30a4\u30a7\u30b8\u30fc\u30fb\u30cd\u30a4\u30de\u30f3\uff08Jerzy Neyman\uff09\u3001\u30a8\u30b4\u30f3\u30fb\u30d4\u30a2\u30bd\u30f3\uff08Egon Pearson\uff09\u3089\u306b\u3088\u3063\u306620\u4e16\u7d00\u524d\u534a\u306b\u78ba\u7acb\u3055\u308c\u305f\u4eee\u8aac\u691c\u5b9a\u7406\u8ad6\u306e\u4e2d\u3067\u4f53\u7cfb\u5316\u3055\u308c\u305f\u3082\u306e\u3067\u3042\u308b\u3002     Neyman\u3068Pearson\u306e\u8ad6\u6587\u300cOn the Problem of the Most Efficient Tests of Statistical Hypotheses\uff081933\uff09\u300d\u304c\u7279\u306b\u6709\u540d\u3002   \u30c7\u30b6\u30a4\u30f3\u4e0a\u306b\u95a2\u308f\u308b\u5229\u7528\u65b9\u6cd5\u3068\u5177\u4f53\u7684\u306a\u4e8b\u4f8b\uff08\u3067\u3042\u308b\u8abf\uff09 UX\u8a2d\u8a08\u3084\u30d7\u30ed\u30c0\u30af\u30c8\u958b\u767a\u306b\u304a\u3044\u3066\u3001\u507d\u967d\u6027\u306e\u30ea\u30b9\u30af\u306fA\/B\u30c6\u30b9\u30c8\u3084\u30e6\u30fc\u30b6\u30fc\u884c\u52d5\u5206\u6790\u306b\u304a\u3051\u308b\u8aa4\u5224\u65ad\u306b\u3064\u306a\u304c\u308b\u91cd\u8981\u306a\u554f\u984c\u3067\u3042\u308b\u3002\u305f\u3068\u3048\u3070\u3001UI\u30dc\u30bf\u30f3\u306e\u8272\u3092\u5909\u66f4\u3057\u305f\u969b\u306b\u30011\u9031\u9593\u306e\u30af\u30ea\u30c3\u30af\u7387\u4e0a\u6607\u3092\u300c\u6539\u5584\u52b9\u679c\u304c\u3042\u3063\u305f\u300d\u3068\u8aa4\u3063\u3066\u5224\u65ad\u3059\u308b\u30b1\u30fc\u30b9\u304c\u3042\u308b\u3002 \u3057\u304b\u3057\u3001\u3053\u308c\u306f\u4e00\u6642\u7684\u306a\u3070\u3089\u3064\u304d\u306b\u904e\u304e\u305a\u3001\u507d\u967d\u6027\u306b\u3088\u308b\u5224\u65ad\u30df\u30b9\u306e\u53ef\u80fd\u6027\u304c\u3042\u308b\u3002 \u307e\u305f\u3001\u30d1\u30fc\u30bd\u30ca\u30e9\u30a4\u30ba\u3055\u308c\u305f\u30ec\u30b3\u30e1\u30f3\u30c9\u30b7\u30b9\u30c6\u30e0\u306b\u304a\u3044\u3066\u3001\u300c\u3053\u306e\u30e6\u30fc\u30b6\u30fc\u306f\u3053\u306e\u5546\u54c1\u306b\u8208\u5473\u304c\u3042\u308b\u300d\u3068\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u304c\u5224\u65ad\u3059\u308b\u304c\u3001\u5b9f\u969b\u306b\u306f\u305d\u3046\u3067\u306f\u306a\u304b\u3063\u305f\u5834\u5408\u3082\u507d\u967d\u6027\u306b\u3042\u305f\u308b\u3002\u3053\u306e\u3088\u3046\u306a\u8aa4\u5224\u5b9a\u306f\u30e6\u30fc\u30b6\u30fc\u4f53\u9a13\u306e\u52a3\u5316\u306b\u3064\u306a\u304c\u308b\u3002  \u3053\u306e\u5834\u9762\u3067\u4f7f\u3048\u308b\u5177\u4f53\u7684\u306a\u30b7\u30fc\u30f3\u3068\u4e8b\u4f8b \u6d3b\u7528\u30b7\u30fc\u30f3\uff1a   \u30de\u30fc\u30b1\u30c6\u30a3\u30f3\u30b0\u65bd\u7b56\u306e\u6709\u52b9\u6027\u691c\u8a3c  \u691c\u7d22\u30a8\u30f3\u30b8\u30f3\u306e\u30b9\u30d1\u30e0\u30d5\u30a3\u30eb\u30bf\u8a2d\u8a08  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property=\"og:image\" content=\"https:\/\/uxdaystokyo.com\/articles\/wp-content\/uploads\/2025\/07\/false-positive.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1080\" \/>\n\t<meta property=\"og:image:height\" content=\"1080\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/uxdaystokyo.com\\\/articles\\\/glossary\\\/false-positive\\\/\",\"url\":\"https:\\\/\\\/uxdaystokyo.com\\\/articles\\\/glossary\\\/false-positive\\\/\",\"name\":\"\u507d\u967d\u6027 | UX 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Fisher\uff09\u3001\u30a4\u30a7\u30b8\u30fc\u30fb\u30cd\u30a4\u30de\u30f3\uff08Jerzy Neyman\uff09\u3001\u30a8\u30b4\u30f3\u30fb\u30d4\u30a2\u30bd\u30f3\uff08Egon Pearson\uff09\u3089\u306b\u3088\u3063\u306620\u4e16\u7d00\u524d\u534a\u306b\u78ba\u7acb\u3055\u308c\u305f\u4eee\u8aac\u691c\u5b9a\u7406\u8ad6\u306e\u4e2d\u3067\u4f53\u7cfb\u5316\u3055\u308c\u305f\u3082\u306e\u3067\u3042\u308b\u3002     Neyman\u3068Pearson\u306e\u8ad6\u6587\u300cOn the Problem of the Most Efficient Tests of Statistical Hypotheses\uff081933\uff09\u300d\u304c\u7279\u306b\u6709\u540d\u3002   \u30c7\u30b6\u30a4\u30f3\u4e0a\u306b\u95a2\u308f\u308b\u5229\u7528\u65b9\u6cd5\u3068\u5177\u4f53\u7684\u306a\u4e8b\u4f8b\uff08\u3067\u3042\u308b\u8abf\uff09 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\u306a\u305c\u8d77\u3053\u308b\u306e\u304b\u3068\u3044\u3046\u3068\u3001p\u5024\u304c\u6709\u610f\u6c34\u6e96\uff08\u4f8b\uff1a0.05\uff09\u3092\u4e0b\u56de\u308b\u3053\u3068\u3092\u3082\u3063\u3066\u300c\u52b9\u679c\u304c\u3042\u308b\u300d\u3068\u5224\u65ad\u3057\u3066\u3044\u305f\u304c\u3001\u5b9f\u969b\u306b\u306f\u5076\u7136\u306b\u3067\u305f\u5834\u5408\u306b\u507d\u967d\u6027\u3068\u306a\u308b\u3002 \u7d71\u8a08\u5b66\u3084\u6a5f\u68b0\u5b66\u7fd2\u3001\u533b\u5b66\u691c\u67fb\u306a\u3069\u306b\u304a\u3044\u3066\u3001\u7b2c1\u7a2e\u306e\u904e\u8aa4\uff08Type I error\uff09\u3068\u3082\u547c\u3070\u308c\u308b\u3002  \u63d0\u5531\u8005\u3068\u6b74\u53f2 \u507d\u967d\u6027\u3068\u3044\u3046\u6982\u5ff5\u306f\u3001\u7d71\u8a08\u7684\u4eee\u8aac\u691c\u5b9a\u306e\u7406\u8ad6\u306e\u4e00\u90e8\u3068\u3057\u3066\u53e4\u304f\u304b\u3089\u5b58\u5728\u3057\u3066\u304a\u308a\u3001\u7279\u5b9a\u306e\u500b\u4eba\u306b\u3088\u3063\u3066\u63d0\u5531\u3055\u308c\u305f\u3082\u306e\u3067\u306f\u306a\u3044\u3002\u305f\u3060\u3057\u3001\u7b2c1\u7a2e\u306e\u904e\u8aa4\uff08Type I error\uff09 \u306e\u67a0\u7d44\u307f\u306f\u3001\u30ed\u30ca\u30eb\u30c9\u30fb\u30d5\u30a3\u30c3\u30b7\u30e3\u30fc\uff08Ronald A. Fisher\uff09\u3001\u30a4\u30a7\u30b8\u30fc\u30fb\u30cd\u30a4\u30de\u30f3\uff08Jerzy Neyman\uff09\u3001\u30a8\u30b4\u30f3\u30fb\u30d4\u30a2\u30bd\u30f3\uff08Egon Pearson\uff09\u3089\u306b\u3088\u3063\u306620\u4e16\u7d00\u524d\u534a\u306b\u78ba\u7acb\u3055\u308c\u305f\u4eee\u8aac\u691c\u5b9a\u7406\u8ad6\u306e\u4e2d\u3067\u4f53\u7cfb\u5316\u3055\u308c\u305f\u3082\u306e\u3067\u3042\u308b\u3002     Neyman\u3068Pearson\u306e\u8ad6\u6587\u300cOn the Problem of the Most Efficient Tests of Statistical Hypotheses\uff081933\uff09\u300d\u304c\u7279\u306b\u6709\u540d\u3002   \u30c7\u30b6\u30a4\u30f3\u4e0a\u306b\u95a2\u308f\u308b\u5229\u7528\u65b9\u6cd5\u3068\u5177\u4f53\u7684\u306a\u4e8b\u4f8b\uff08\u3067\u3042\u308b\u8abf\uff09 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Fisher\uff09\u3001\u30a4\u30a7\u30b8\u30fc\u30fb\u30cd\u30a4\u30de\u30f3\uff08Jerzy Neyman\uff09\u3001\u30a8\u30b4\u30f3\u30fb\u30d4\u30a2\u30bd\u30f3\uff08Egon Pearson\uff09\u3089\u306b\u3088\u3063\u306620\u4e16\u7d00\u524d\u534a\u306b\u78ba\u7acb\u3055\u308c\u305f\u4eee\u8aac\u691c\u5b9a\u7406\u8ad6\u306e\u4e2d\u3067\u4f53\u7cfb\u5316\u3055\u308c\u305f\u3082\u306e\u3067\u3042\u308b\u3002 Neyman\u3068Pearson\u306e\u8ad6\u6587\u300cOn the Problem of the Most Efficient Tests of Statistical Hypotheses\uff081933\uff09\u300d\u304c\u7279\u306b\u6709\u540d\u3002 \u30c7\u30b6\u30a4\u30f3\u4e0a\u306b\u95a2\u308f\u308b\u5229\u7528\u65b9\u6cd5\u3068\u5177\u4f53\u7684\u306a\u4e8b\u4f8b\uff08\u3067\u3042\u308b\u8abf\uff09 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