"T-\u043A\u0440\u0438\u0442\u0435\u0440\u0438\u0439 \u0423\u044D\u043B\u0447\u0430"@ru . "\u7D71\u8A08\u5B66\u306B\u304A\u3044\u3066\u3001\u30A6\u30A7\u30EB\u30C1\u306Et\u691C\u5B9A\uFF08\u30A6\u30A7\u30EB\u30C1\u306Et\u3051\u3093\u3066\u3044\u3001\u82F1: Welch's t test\uFF09\u306F\u30012\u6A19\u672C\u306E\u3067\u3042\u308A\u30012\u3064\u306E\u6BCD\u96C6\u56E3\u304C\u7B49\u3057\u3044\u5E73\u5747\u3092\u6301\u3064\u3068\u3044\u3046\u4EEE\u8AAC\u3092\u691C\u5B9A\u3059\u308B\u305F\u3081\u306B\u7528\u3044\u3089\u308C\u308B\u3002\u30A6\u30A7\u30EB\u30C1\uFF1D\u30A2\u30B9\u30D4\u30F3\u691C\u5B9A\uFF08Welch-Aspin Test\uFF09\u3068\u3082\u547C\u3070\u308C\u308B\u3002\u30B9\u30C1\u30E5\u30FC\u30C7\u30F3\u30C8\u306Et\u691C\u5B9A\u306E\u6539\u826F\u578B\u3067\u3042\u308A\u3001\u975E\u7B49\u5206\u6563\u3092\u6301\u3064\u53EF\u80FD\u6027\u306E\u3042\u308B2\u3064\u306E\u6A19\u672C\u306B\u7528\u3044\u308B\u3053\u3068\u304C\u610F\u56F3\u3055\u308C\u3066\u3044\u308B\u3002\u30A6\u30A7\u30EB\u30C1\u306Et\u691C\u5B9A\u306F\u3001\u306E\u8FD1\u4F3C\u89E3\u3067\u3042\u308B\u3002"@ja . . . . . . . . "In statistics, Welch's t-test, or unequal variances t-test, is a two-sample location test which is used to test the hypothesis that two populations have equal means. It is named for its creator, Bernard Lewis Welch, is an adaptation of Student's t-test, and is more reliable when the two samples have unequal variances and possibly unequal sample sizes. These tests are often referred to as \"unpaired\" or \"independent samples\" t-tests, as they are typically applied when the statistical units underlying the two samples being compared are non-overlapping. Given that Welch's t-test has been less popular than Student's t-test and may be less familiar to readers, a more informative name is \"Welch's unequal variances t-test\" \u2014 or \"unequal variances t-test\" for brevity."@en . . . . . . . . . . . . . . . . . . . "t-\u043A\u0440\u0438\u0442\u0435\u0440\u0438\u0439 \u0423\u044D\u043B\u0447\u0430 \u2014 \u0442\u0435\u0441\u0442, \u043E\u0441\u043D\u043E\u0432\u0430\u043D\u043D\u044B\u0439 \u043D\u0430 \u0440\u0430\u0441\u043F\u0440\u0435\u0434\u0435\u043B\u0435\u043D\u0438\u0438 \u0421\u0442\u044C\u044E\u0434\u0435\u043D\u0442\u0430 \u0438 \u043F\u0440\u0435\u0434\u043D\u0430\u0437\u043D\u0430\u0447\u0435\u043D\u043D\u044B\u0439 \u0434\u043B\u044F \u043F\u0440\u043E\u0432\u0435\u0440\u043A\u0438 \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u0447\u0435\u0441\u043A\u043E\u0439 \u0433\u0438\u043F\u043E\u0442\u0435\u0437\u044B \u043E \u0440\u0430\u0432\u0435\u043D\u0441\u0442\u0432\u0435 \u043C\u0430\u0442\u0435\u043C\u0430\u0442\u0438\u0447\u0435\u0441\u043A\u0438\u0445 \u043E\u0436\u0438\u0434\u0430\u043D\u0438\u0439 \u0441\u043B\u0443\u0447\u0430\u0439\u043D\u044B\u0445 \u0432\u0435\u043B\u0438\u0447\u0438\u043D, \u0438\u043C\u0435\u044E\u0449\u0438\u0445 \u043D\u0435\u043E\u0431\u044F\u0437\u0430\u0442\u0435\u043B\u044C\u043D\u043E \u0440\u0430\u0432\u043D\u044B\u0435 \u0438\u0437\u0432\u0435\u0441\u0442\u043D\u044B\u0435 \u0434\u0438\u0441\u043F\u0435\u0440\u0441\u0438\u0438. \u042F\u0432\u043B\u044F\u0435\u0442\u0441\u044F \u043C\u043E\u0434\u0438\u0444\u0438\u043A\u0430\u0446\u0438\u0435\u0439 t-\u043A\u0440\u0438\u0442\u0435\u0440\u0438\u044F \u0421\u0442\u044C\u044E\u0434\u0435\u043D\u0442\u0430. \u041D\u0430\u0437\u0432\u0430\u043D \u0432 \u0447\u0435\u0441\u0442\u044C \u0431\u0440\u0438\u0442\u0430\u043D\u0441\u043A\u043E\u0433\u043E \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043A\u0430 \u0411\u0435\u0440\u043D\u0430\u0440\u0434\u0430 \u041B\u044C\u044E\u0438\u0441\u0430 \u0423\u044D\u043B\u0447\u0430."@ru . "En statistique, le test t de Welch est une adaptation du test t de Student. Il peut \u00EAtre utilis\u00E9 notamment pour tester statistiquement l\u2019hypoth\u00E8se d\u2019\u00E9galit\u00E9 de deux moyennes avec deux \u00E9chantillons de variances in\u00E9gales. Il s'agit en fait d'une solution approch\u00E9e du probl\u00E8me de Behrens\u2013Fisher."@fr . "In statistics, Welch's t-test, or unequal variances t-test, is a two-sample location test which is used to test the hypothesis that two populations have equal means. It is named for its creator, Bernard Lewis Welch, is an adaptation of Student's t-test, and is more reliable when the two samples have unequal variances and possibly unequal sample sizes. These tests are often referred to as \"unpaired\" or \"independent samples\" t-tests, as they are typically applied when the statistical units underlying the two samples being compared are non-overlapping. Given that Welch's t-test has been less popular than Student's t-test and may be less familiar to readers, a more informative name is \"Welch's unequal variances t-test\" \u2014 or \"unequal variances t-test\" for brevity."@en . . . . . "Test t Welcha \u2013 test statystyczny r\u00F3wno\u015Bci warto\u015Bci oczekiwanych w dw\u00F3ch populacjach. Jest uog\u00F3lnieniem testu t Studenta na populacje o r\u00F3\u017Cnych wariancjach. Stanowi przybli\u017Cone rozwi\u0105zanie ."@pl . "En statistique, le test t de Welch est une adaptation du test t de Student. Il peut \u00EAtre utilis\u00E9 notamment pour tester statistiquement l\u2019hypoth\u00E8se d\u2019\u00E9galit\u00E9 de deux moyennes avec deux \u00E9chantillons de variances in\u00E9gales. Il s'agit en fait d'une solution approch\u00E9e du probl\u00E8me de Behrens\u2013Fisher."@fr . . . . . . . . . . . "Test t de Welch"@fr . . . . . . "Welch's t-test"@en . . . . "\u7D71\u8A08\u5B66\u306B\u304A\u3044\u3066\u3001\u30A6\u30A7\u30EB\u30C1\u306Et\u691C\u5B9A\uFF08\u30A6\u30A7\u30EB\u30C1\u306Et\u3051\u3093\u3066\u3044\u3001\u82F1: Welch's t test\uFF09\u306F\u30012\u6A19\u672C\u306E\u3067\u3042\u308A\u30012\u3064\u306E\u6BCD\u96C6\u56E3\u304C\u7B49\u3057\u3044\u5E73\u5747\u3092\u6301\u3064\u3068\u3044\u3046\u4EEE\u8AAC\u3092\u691C\u5B9A\u3059\u308B\u305F\u3081\u306B\u7528\u3044\u3089\u308C\u308B\u3002\u30A6\u30A7\u30EB\u30C1\uFF1D\u30A2\u30B9\u30D4\u30F3\u691C\u5B9A\uFF08Welch-Aspin Test\uFF09\u3068\u3082\u547C\u3070\u308C\u308B\u3002\u30B9\u30C1\u30E5\u30FC\u30C7\u30F3\u30C8\u306Et\u691C\u5B9A\u306E\u6539\u826F\u578B\u3067\u3042\u308A\u3001\u975E\u7B49\u5206\u6563\u3092\u6301\u3064\u53EF\u80FD\u6027\u306E\u3042\u308B2\u3064\u306E\u6A19\u672C\u306B\u7528\u3044\u308B\u3053\u3068\u304C\u610F\u56F3\u3055\u308C\u3066\u3044\u308B\u3002\u30A6\u30A7\u30EB\u30C1\u306Et\u691C\u5B9A\u306F\u3001\u306E\u8FD1\u4F3C\u89E3\u3067\u3042\u308B\u3002"@ja . "Test t Welcha"@pl . . "Test t Welcha \u2013 test statystyczny r\u00F3wno\u015Bci warto\u015Bci oczekiwanych w dw\u00F3ch populacjach. Jest uog\u00F3lnieniem testu t Studenta na populacje o r\u00F3\u017Cnych wariancjach. Stanowi przybli\u017Cone rozwi\u0105zanie ."@pl . . "7849883"^^ . . . "1107708710"^^ . . . . . . "16001"^^ . . . . . "\u30A6\u30A7\u30EB\u30C1\u306Et\u691C\u5B9A"@ja . . "t-\u043A\u0440\u0438\u0442\u0435\u0440\u0438\u0439 \u0423\u044D\u043B\u0447\u0430 \u2014 \u0442\u0435\u0441\u0442, \u043E\u0441\u043D\u043E\u0432\u0430\u043D\u043D\u044B\u0439 \u043D\u0430 \u0440\u0430\u0441\u043F\u0440\u0435\u0434\u0435\u043B\u0435\u043D\u0438\u0438 \u0421\u0442\u044C\u044E\u0434\u0435\u043D\u0442\u0430 \u0438 \u043F\u0440\u0435\u0434\u043D\u0430\u0437\u043D\u0430\u0447\u0435\u043D\u043D\u044B\u0439 \u0434\u043B\u044F \u043F\u0440\u043E\u0432\u0435\u0440\u043A\u0438 \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u0447\u0435\u0441\u043A\u043E\u0439 \u0433\u0438\u043F\u043E\u0442\u0435\u0437\u044B \u043E \u0440\u0430\u0432\u0435\u043D\u0441\u0442\u0432\u0435 \u043C\u0430\u0442\u0435\u043C\u0430\u0442\u0438\u0447\u0435\u0441\u043A\u0438\u0445 \u043E\u0436\u0438\u0434\u0430\u043D\u0438\u0439 \u0441\u043B\u0443\u0447\u0430\u0439\u043D\u044B\u0445 \u0432\u0435\u043B\u0438\u0447\u0438\u043D, \u0438\u043C\u0435\u044E\u0449\u0438\u0445 \u043D\u0435\u043E\u0431\u044F\u0437\u0430\u0442\u0435\u043B\u044C\u043D\u043E \u0440\u0430\u0432\u043D\u044B\u0435 \u0438\u0437\u0432\u0435\u0441\u0442\u043D\u044B\u0435 \u0434\u0438\u0441\u043F\u0435\u0440\u0441\u0438\u0438. \u042F\u0432\u043B\u044F\u0435\u0442\u0441\u044F \u043C\u043E\u0434\u0438\u0444\u0438\u043A\u0430\u0446\u0438\u0435\u0439 t-\u043A\u0440\u0438\u0442\u0435\u0440\u0438\u044F \u0421\u0442\u044C\u044E\u0434\u0435\u043D\u0442\u0430. \u041D\u0430\u0437\u0432\u0430\u043D \u0432 \u0447\u0435\u0441\u0442\u044C \u0431\u0440\u0438\u0442\u0430\u043D\u0441\u043A\u043E\u0433\u043E \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043A\u0430 \u0411\u0435\u0440\u043D\u0430\u0440\u0434\u0430 \u041B\u044C\u044E\u0438\u0441\u0430 \u0423\u044D\u043B\u0447\u0430."@ru . . .