. . . . . . . "En statistique descriptive, un centile (ou percentile) est une des 99 valeurs qui divisent une distribution de donn\u00E9es en 100 parts \u00E9gales de sorte que le p-i\u00E8me centile soit la valeur sup\u00E9rieure \u00E0 p % des autres valeurs. Les centiles sont un cas particulier des quantiles."@fr . "Percentyl, centyl \u2013 kwantyl rz\u0119du k/100, gdzie k = 1, \u2026, 99. Intuicyjnie m\u00F3wi\u0105c, percentyl jest wielko\u015Bci\u0105, poni\u017Cej kt\u00F3rej padaj\u0105 warto\u015Bci zadanego procentu pr\u00F3bek."@pl . . . . "Percentil"@sv . . . "Centile"@it . . . . "354907"^^ . . . "In de statistiek is een percentiel van een geordende dataset een van de in principe 99 punten die de dataset in 100 delen van gelijke grootte verdelen. Het -de percentiel is dan een getal dat de % kleinste data van de % grootste scheidt. Het 95e percentiel is bijvoorbeeld een getal zodanig dat 95% van de data kleiner is of eraan gelijk en 5% groter of eraan gelijk. Veelal zal een percentiel een van de data zelf zijn, maar in sommige gevallen is het percentiel het gemiddelde van twee opeenvolgende data. Percentielen zijn op soortgelijke wijze ook gedefinieerd voor kansverdelingen."@nl . . . . "18524"^^ . . . "\uBC31\uBD84\uC704\uC218"@ko . . "En percentil \u00E4r det v\u00E4rde p\u00E5 en stokastisk variabel nedanf\u00F6r vilken en viss procent av observationerna av variabeln hamnar. S\u00E5 \u00E4r till exempel \"20-percentilen\" P20 det v\u00E4rde som delar observationerna s\u00E5 att 20 procent av dem \u00E4r mindre \u00E4n P20 och 80 procent \u00E4r st\u00F6rre \u00E4n detta v\u00E4rde. De percentiler som delar in materialet i fyra delar, P25 eller Q1, P50 eller Q2 och P75 eller Q3, kallas kvartiler. \"Undre kvartilen\" anger till exempel det v\u00E4rde som 25 % av observationerna underskrider. Speciellt kallas P50 (50-percentilen) f\u00F6r medianv\u00E4rdet, som \u00E4r det v\u00E4rde som delar observationerna p\u00E5 mitten s\u00E5 att h\u00E4lften av observationerna \u00E4r mindre \u00E4n P50, och andra h\u00E4lften \u00E4r st\u00F6rre. F\u00F6r symmetriska f\u00F6rdelningar \u00E4r medianv\u00E4rde och medelv\u00E4rde identiska. Vissa f\u00F6rdelningar som till exempel inkomstf\u00F6rdelning \u00E4r ofta asymmetriska med ett f\u00E5tal personer som \u00E4r extremt rika - en f\u00F6rdelning med en l\u00E5ng \"svans\" \u00E5t h\u00F6ger. F\u00F6r en s\u00E5dan f\u00F6rdelning kommer medelv\u00E4rdet att vara h\u00F6gre \u00E4n medianv\u00E4rdet, och medianv\u00E4rdet kan vara mer representativt \u00E4n medelv\u00E4rdet om man vill beskriva observationerna med ett enda v\u00E4rde. Begreppen deciler (tiondelar; P10, P20, ...) och kvintiler (femtedelar; P20, P40, ...) f\u00F6rekommer ocks\u00E5."@sv . . "Percentiel"@nl . "\u041F\u0435\u0440\u0446\u0435\u043D\u0442\u0438\u043B\u044C"@uk . "Estatistikan, pertzentilak edo zentilak 100-koantilak dira, eta beraz, datu multzoa edo banaketa 100 zati berdinetan banatzen dute. Beraz 99 pertzentil daude: P1,..., P99 (lehenengo, ...,laurogeita hamargarren pertzentila). Adibidez, P12 pertzentiletik behera datuen %12 dago eta hortik gora datuen %88."@eu . "Centile"@fr . "Percentyl"@pl . "Em estat\u00EDstica descritiva, os percentis s\u00E3o medidas que dividem a amostra (por ordem crescente dos dados) em 100 partes, cada uma com uma percentagem de dados aproximadamente igual. O k-\u00E9simo percentil Pk \u00E9 o valor x (xk) que corresponde \u00E0 frequ\u00EAncia cumulativa de N .k/100, onde N \u00E9 o tamanho amostral. Portanto: \n* o 1\u00BA percentil determina o 1% menor dos dados; e \n* o 98\u00BA percentil determina os 98% menores dos dados. O 25\u00BA percentil \u00E9 o primeiro quartil; o 50\u00BA percentil \u00E9 a mediana. De igual forma, o 10\u00BA percentil \u00E9 o primeiro decil e o 80\u00BA percentil \u00E9 o oitavo decil."@pt . . "Pertzentil"@eu . . "En statistique descriptive, un centile (ou percentile) est une des 99 valeurs qui divisent une distribution de donn\u00E9es en 100 parts \u00E9gales de sorte que le p-i\u00E8me centile soit la valeur sup\u00E9rieure \u00E0 p % des autres valeurs. Les centiles sont un cas particulier des quantiles."@fr . . . . . . "\u041F\u0440\u043E\u0446\u0435\u043D\u0442\u0438\u043B\u044C (\u0430\u043D\u0433\u043B. Percentile) \u2014 \u044D\u0442\u043E \u0437\u043D\u0430\u0447\u0435\u043D\u0438\u0435, \u043A\u043E\u0442\u043E\u0440\u043E\u0435 \u0437\u0430\u0434\u0430\u043D\u043D\u0430\u044F \u0441\u043B\u0443\u0447\u0430\u0439\u043D\u0430\u044F \u0432\u0435\u043B\u0438\u0447\u0438\u043D\u0430 \u043D\u0435 \u043F\u0440\u0435\u0432\u044B\u0448\u0430\u0435\u0442 \u0441 \u0444\u0438\u043A\u0441\u0438\u0440\u043E\u0432\u0430\u043D\u043D\u043E\u0439 \u0432\u0435\u0440\u043E\u044F\u0442\u043D\u043E\u0441\u0442\u044C\u044E, \u0437\u0430\u0434\u0430\u043D\u043D\u043E\u0439 \u0432 \u043F\u0440\u043E\u0446\u0435\u043D\u0442\u0430\u0445. \u0422\u0430\u043A\u0438\u043C \u043E\u0431\u0440\u0430\u0437\u043E\u043C, -\u0439 \u043F\u0440\u043E\u0446\u0435\u043D\u0442\u0438\u043B\u044C \u2014 \u044D\u0442\u043E \u0442\u043E \u0436\u0435, \u0447\u0442\u043E -\u0439 \u043A\u0432\u0430\u043D\u0442\u0438\u043B\u044C."@ru . "Il centile (o percentile) \u00E8 una misura usata in statistica per indicare il minimo valore sotto al quale ricade una data percentuale degli altri elementi sotto osservazione."@it . . "\u767E\u5206\u4F4D\u6570\uFF08percentile\uFF09\u662F\u7EDF\u8A08\u5B78\u8853\u8BED\uFF0C\u82E5\u5C06\u4E00\u7EC4\u6570\u636E\u4ECE\u5C0F\u5230\u5927\u6392\u5E8F\uFF0C\u5E76\u8BA1\u7B97\u76F8\u5E94\u7684\u7D2F\u8BA1\u767E\u5206\u70B9\uFF0C\u5219\u67D0\u767E\u5206\u70B9\u6240\u5BF9\u5E94\u6570\u636E\u7684\u503C\uFF0C\u5C31\u79F0\u4E3A\u8FD9\u767E\u5206\u70B9\u7684\u767E\u5206\u4F4D\u6570\uFF0C\u4EE5Pk\u8868\u793A\u7B2Ck\u767E\u5206\u4F4D\u6578\u3002\u767E\u5206\u4F4D\u6570\u662F\u7528\u6765\u6BD4\u8F83\u4E2A\u4F53\u5728\u7FA4\u4F53\u4E2D\u7684\u76F8\u5BF9\u5730\u4F4D\u91CF\u6570\u3002"@zh . . . . "En percentil \u00E4r det v\u00E4rde p\u00E5 en stokastisk variabel nedanf\u00F6r vilken en viss procent av observationerna av variabeln hamnar. S\u00E5 \u00E4r till exempel \"20-percentilen\" P20 det v\u00E4rde som delar observationerna s\u00E5 att 20 procent av dem \u00E4r mindre \u00E4n P20 och 80 procent \u00E4r st\u00F6rre \u00E4n detta v\u00E4rde. De percentiler som delar in materialet i fyra delar, P25 eller Q1, P50 eller Q2 och P75 eller Q3, kallas kvartiler. \"Undre kvartilen\" anger till exempel det v\u00E4rde som 25 % av observationerna underskrider. Begreppen deciler (tiondelar; P10, P20, ...) och kvintiler (femtedelar; P20, P40, ...) f\u00F6rekommer ocks\u00E5."@sv . . "Estatistikan, pertzentilak edo zentilak 100-koantilak dira, eta beraz, datu multzoa edo banaketa 100 zati berdinetan banatzen dute. Beraz 99 pertzentil daude: P1,..., P99 (lehenengo, ...,laurogeita hamargarren pertzentila). Adibidez, P12 pertzentiletik behera datuen %12 dago eta hortik gora datuen %88."@eu . . "Empirisches Quantil"@de . . . . "\uBC31\uBD84\uC704\uC218(Percentile. \u767E\u5206\u4F4D\u6578)\uB294 \uD06C\uAE30\uAC00 \uC788\uB294 \uAC12\uB4E4\uB85C \uC774\uB904\uC9C4 \uC790\uB8CC\uB97C \uC21C\uC11C\uB300\uB85C \uB098\uC5F4\uD588\uC744 \uB54C \uBC31\uBD84\uC728\uB85C \uB098\uD0C0\uB0B8 \uD2B9\uC815 \uC704\uCE58\uC758 \uAC12\uC744 \uC774\uB974\uB294 \uC6A9\uC5B4\uC774\uB2E4. \uC77C\uBC18\uC801\uC73C\uB85C \uD06C\uAE30\uAC00 \uC791\uC740 \uAC83\uBD80\uD130 \uB098\uC5F4\uD558\uC5EC \uAC00\uC7A5 \uC791\uC740 \uAC83\uC744 0, \uAC00\uC7A5 \uD070 \uAC83\uC744 100\uC73C\uB85C \uD55C\uB2E4. 100\uAC1C\uC758 \uAC12\uC744 \uAC00\uC9C4 \uC5B4\uB5A4 \uC790\uB8CC\uC758 20 \uBC31\uBD84\uC704\uC218\uB294 \uADF8 \uC790\uB8CC\uC758 \uAC12\uB4E4 \uC911 20\uBC88\uC9F8\uB85C \uC791\uC740 \uAC12\uC744 \uB73B\uD55C\uB2E4. 50 \uBC31\uBD84\uC704\uC218\uB294 \uC911\uC559\uAC12\uACFC \uAC19\uB2E4. \uBE44\uC2B7\uD55C \uD45C\uD604\uC73C\uB85C \uBC31\uBD84\uC704(Percentile rank)\uAC00 \uC788\uB2E4. \uBC31\uBD84\uC704\uC218\uB294 \uC790\uB8CC\uC758 \uD2B9\uC815 \uC704\uCE58\uC5D0 \uC5B4\uB5A4 \uAC12\uC774 \uC788\uB294\uC9C0 \uB098\uD0C0\uB0B4\uAE30 \uC704\uD574 \uC4F0\uB294 \uBC18\uBA74, \uBC31\uBD84\uC704\uB294 \uC790\uB8CC\uC758 \uD2B9\uC815 \uAC12\uC774 \uC804\uCCB4\uC5D0\uC11C \uC5B4\uB290 \uC704\uCE58\uC5D0 \uC788\uB294\uC9C0 \uB098\uD0C0\uB0B4\uACE0\uC790 \uD560 \uB54C \uC4F4\uB2E4. \uC608\uB97C \uB4E4\uC5B4, \uC5B4\uB290 \uC2DC\uD5D8 \uC810\uC218 \uBD84\uD3EC\uC758 80 \uBC31\uBD84\uC704\uC218\uAC00 90\uC810\uC774\uB77C\uBA74, 90\uC810\uC744 \uB9DE\uC740 \uC218\uD5D8\uC0DD\uC758 \uBC31\uBD84\uC704\uB294 80\uC774\uB77C \uD45C\uD604\uD560 \uC218 \uC788\uB2E4."@ko . . . "Percentile"@en . . . "Percentyl, centyl \u2013 kwantyl rz\u0119du k/100, gdzie k = 1, \u2026, 99. Intuicyjnie m\u00F3wi\u0105c, percentyl jest wielko\u015Bci\u0105, poni\u017Cej kt\u00F3rej padaj\u0105 warto\u015Bci zadanego procentu pr\u00F3bek."@pl . . . "\u767E\u5206\u4F4D\u6570\uFF08percentile\uFF09\u662F\u7EDF\u8A08\u5B78\u8853\u8BED\uFF0C\u82E5\u5C06\u4E00\u7EC4\u6570\u636E\u4ECE\u5C0F\u5230\u5927\u6392\u5E8F\uFF0C\u5E76\u8BA1\u7B97\u76F8\u5E94\u7684\u7D2F\u8BA1\u767E\u5206\u70B9\uFF0C\u5219\u67D0\u767E\u5206\u70B9\u6240\u5BF9\u5E94\u6570\u636E\u7684\u503C\uFF0C\u5C31\u79F0\u4E3A\u8FD9\u767E\u5206\u70B9\u7684\u767E\u5206\u4F4D\u6570\uFF0C\u4EE5Pk\u8868\u793A\u7B2Ck\u767E\u5206\u4F4D\u6578\u3002\u767E\u5206\u4F4D\u6570\u662F\u7528\u6765\u6BD4\u8F83\u4E2A\u4F53\u5728\u7FA4\u4F53\u4E2D\u7684\u76F8\u5BF9\u5730\u4F4D\u91CF\u6570\u3002"@zh . . "In de statistiek is een percentiel van een geordende dataset een van de in principe 99 punten die de dataset in 100 delen van gelijke grootte verdelen. Het -de percentiel is dan een getal dat de % kleinste data van de % grootste scheidt. Het 95e percentiel is bijvoorbeeld een getal zodanig dat 95% van de data kleiner is of eraan gelijk en 5% groter of eraan gelijk. Veelal zal een percentiel een van de data zelf zijn, maar in sommige gevallen is het percentiel het gemiddelde van twee opeenvolgende data. Percentielen zijn op soortgelijke wijze ook gedefinieerd voor kansverdelingen."@nl . . . "\uBC31\uBD84\uC704\uC218(Percentile. \u767E\u5206\u4F4D\u6578)\uB294 \uD06C\uAE30\uAC00 \uC788\uB294 \uAC12\uB4E4\uB85C \uC774\uB904\uC9C4 \uC790\uB8CC\uB97C \uC21C\uC11C\uB300\uB85C \uB098\uC5F4\uD588\uC744 \uB54C \uBC31\uBD84\uC728\uB85C \uB098\uD0C0\uB0B8 \uD2B9\uC815 \uC704\uCE58\uC758 \uAC12\uC744 \uC774\uB974\uB294 \uC6A9\uC5B4\uC774\uB2E4. \uC77C\uBC18\uC801\uC73C\uB85C \uD06C\uAE30\uAC00 \uC791\uC740 \uAC83\uBD80\uD130 \uB098\uC5F4\uD558\uC5EC \uAC00\uC7A5 \uC791\uC740 \uAC83\uC744 0, \uAC00\uC7A5 \uD070 \uAC83\uC744 100\uC73C\uB85C \uD55C\uB2E4. 100\uAC1C\uC758 \uAC12\uC744 \uAC00\uC9C4 \uC5B4\uB5A4 \uC790\uB8CC\uC758 20 \uBC31\uBD84\uC704\uC218\uB294 \uADF8 \uC790\uB8CC\uC758 \uAC12\uB4E4 \uC911 20\uBC88\uC9F8\uB85C \uC791\uC740 \uAC12\uC744 \uB73B\uD55C\uB2E4. 50 \uBC31\uBD84\uC704\uC218\uB294 \uC911\uC559\uAC12\uACFC \uAC19\uB2E4. \uBE44\uC2B7\uD55C \uD45C\uD604\uC73C\uB85C \uBC31\uBD84\uC704(Percentile rank)\uAC00 \uC788\uB2E4. \uBC31\uBD84\uC704\uC218\uB294 \uC790\uB8CC\uC758 \uD2B9\uC815 \uC704\uCE58\uC5D0 \uC5B4\uB5A4 \uAC12\uC774 \uC788\uB294\uC9C0 \uB098\uD0C0\uB0B4\uAE30 \uC704\uD574 \uC4F0\uB294 \uBC18\uBA74, \uBC31\uBD84\uC704\uB294 \uC790\uB8CC\uC758 \uD2B9\uC815 \uAC12\uC774 \uC804\uCCB4\uC5D0\uC11C \uC5B4\uB290 \uC704\uCE58\uC5D0 \uC788\uB294\uC9C0 \uB098\uD0C0\uB0B4\uACE0\uC790 \uD560 \uB54C \uC4F4\uB2E4. \uC608\uB97C \uB4E4\uC5B4, \uC5B4\uB290 \uC2DC\uD5D8 \uC810\uC218 \uBD84\uD3EC\uC758 80 \uBC31\uBD84\uC704\uC218\uAC00 90\uC810\uC774\uB77C\uBA74, 90\uC810\uC744 \uB9DE\uC740 \uC218\uD5D8\uC0DD\uC758 \uBC31\uBD84\uC704\uB294 80\uC774\uB77C \uD45C\uD604\uD560 \uC218 \uC788\uB2E4."@ko . . . . . "\u0641\u064A \u0627\u0644\u0625\u062D\u0635\u0627\u0621 \u0627\u0644\u0645\u0626\u064A\u0646 (\u0628\u0627\u0644\u0625\u0646\u0643\u0644\u064A\u0632\u064A\u0629 Percentile \u0623\u0648 Centile) \u0647\u0648 \u0642\u064A\u0645\u0629 \u0644\u0645\u062A\u062D\u0648\u0644 \u062A\u0642\u0639 \u062A\u062D\u062A\u0647\u0627 \u0646\u0633\u0628\u0629 \u0645\u0639\u064A\u0646\u0629 \u0645\u0646 \u0642\u0631\u0627\u0621\u0627\u062A \u0627\u0644\u0639\u064A\u0646\u0629. \u0639\u0644\u0649 \u0633\u0628\u064A\u0644 \u0627\u0644\u0645\u062B\u0627\u0644 \u0627\u0644\u0645\u0626\u064A\u0646 \u0627\u0644\u0639\u0634\u0631\u0648\u0646 \u0644\u0645\u062C\u0645\u0648\u0639\u0629 \u0645\u0646 \u0627\u0644\u0623\u0639\u062F\u0627\u062F \u0647\u0648 \u0627\u0644\u0639\u062F\u062F \u0627\u0644\u0630\u064A \u064A\u0642\u0639 \u062A\u062D\u062A\u0647 \u0639\u0634\u0631\u0648\u0646 \u0628\u0627\u0644\u0645\u0627\u0626\u0629 \u0645\u0646 \u0639\u0646\u0627\u0635\u0631 \u0627\u0644\u0645\u062C\u0645\u0648\u0639\u0629. \u0627\u0644\u0631\u062A\u0628\u0629 \u0627\u0644\u0645\u0626\u064A\u0646\u064A\u0629\u060C \u0648\u0647\u064A \u0645\u0635\u0637\u0644\u062D \u0645\u0631\u062A\u0628\u0637 \u0628\u0627\u0644\u0645\u0626\u064A\u0646\u060C \u062A\u0633\u062A\u062E\u062F\u0645 \u0641\u064A \u0646\u062A\u0627\u0626\u062C \u0627\u0644\u0627\u0645\u062A\u062D\u0627\u0646\u0627\u062A \u0644\u0625\u0638\u0647\u0627\u0631 \u0631\u062A\u0628\u0629 \u0646\u062A\u064A\u062C\u0629 \u0627\u0644\u0637\u0627\u0644\u0628 \u0645\u0642\u0627\u0631\u0646\u0629 \u0628\u0632\u0645\u0644\u0627\u0626\u0647 \u0645\u0645\u0646 \u0623\u062C\u0631\u0648\u0627 \u0627\u0644\u0627\u0645\u062A\u062D\u0627\u0646 \u0646\u0641\u0633\u0647. \u0641\u0645\u062B\u0644\u0627 \u0625\u0630\u0627 \u0642\u064A\u0644 \u0623\u0646 \u062F\u0631\u062C\u0629 \u0623\u062D\u062F \u0627\u0644\u0637\u0644\u0627\u0628 \u0647\u064A \u0627\u0644\u0631\u062A\u0628\u0629 \u0627\u0644\u0645\u0626\u064A\u0646\u064A\u0629 \u0627\u0644\u062A\u0633\u0639\u0648\u0646 \u0641\u0647\u0630\u0627 \u064A\u0639\u0646\u064A \u0623\u0646 90% \u0645\u0646 \u0639\u062F\u062F \u0627\u0644\u0637\u0644\u0627\u0628 \u0627\u0644\u0630\u064A\u0646 \u062A\u0642\u062F\u0645\u0648\u0627 \u0644\u0644\u0627\u0645\u062A\u062D\u0627\u0646 \u062D\u0635\u0644\u0648\u0627 \u0639\u0644\u0649 \u062F\u0631\u062C\u0629 \u0623\u0642\u0644 \u0645\u0646 \u062F\u0631\u062C\u0629 \u0630\u0644\u0643 \u0627\u0644\u0637\u0627\u0644\u0628."@ar . . "Percentil"@es . . . "In statistics, a k-th percentile (percentile score or centile) is a score below which a given percentage k of scores in its frequency distribution falls (exclusive definition) or a score at or below which a given percentage falls (inclusive definition). For example, the 50th percentile (the median) is the score below which 50% of the scores in the distribution are found (by the \"exclusive\" definition), or at or below which 50% of the scores are found (by the \"inclusive\" definition). Percentiles are expressed in the same unit of measurement as the input scores; for example, if the scores refer to human weight, the corresponding percentiles will be expressed in kilograms or pounds. The percentile score and the percentile rank are related terms. The percentile rank of a score is the percentage of scores in its distribution that are less than it, an exclusive definition, and one that can be expressed with a single, simple formula.Percentile scores and percentile ranks are often used in the reporting of test scores from norm-referenced tests, but, as just noted, they are not the same. For percentile rank, a score is given and a percentage is computed. Percentile ranks are exclusive. If the percentile rank for a specified score is 90%, then 90% of the scores were lower. In contrast, for percentiles a percentage is given and a corresponding score is determined, which can be either exclusive or inclusive. The score for a specified percentage (e.g., 90th) indicates a score below which (exclusive definition) or at or below which (inclusive definition) other scores in the distribution fall. The 25th percentile is also known as the first quartile (Q1), the 50th percentile as the median or second quartile (Q2), and the 75th percentile as the third quartile (Q3)."@en . "\u041F\u0440\u043E\u0446\u0435\u043D\u0442\u0438\u043B\u044C (\u0430\u043D\u0433\u043B. Percentile) \u2014 \u044D\u0442\u043E \u0437\u043D\u0430\u0447\u0435\u043D\u0438\u0435, \u043A\u043E\u0442\u043E\u0440\u043E\u0435 \u0437\u0430\u0434\u0430\u043D\u043D\u0430\u044F \u0441\u043B\u0443\u0447\u0430\u0439\u043D\u0430\u044F \u0432\u0435\u043B\u0438\u0447\u0438\u043D\u0430 \u043D\u0435 \u043F\u0440\u0435\u0432\u044B\u0448\u0430\u0435\u0442 \u0441 \u0444\u0438\u043A\u0441\u0438\u0440\u043E\u0432\u0430\u043D\u043D\u043E\u0439 \u0432\u0435\u0440\u043E\u044F\u0442\u043D\u043E\u0441\u0442\u044C\u044E, \u0437\u0430\u0434\u0430\u043D\u043D\u043E\u0439 \u0432 \u043F\u0440\u043E\u0446\u0435\u043D\u0442\u0430\u0445. \u0422\u0430\u043A\u0438\u043C \u043E\u0431\u0440\u0430\u0437\u043E\u043C, -\u0439 \u043F\u0440\u043E\u0446\u0435\u043D\u0442\u0438\u043B\u044C \u2014 \u044D\u0442\u043E \u0442\u043E \u0436\u0435, \u0447\u0442\u043E -\u0439 \u043A\u0432\u0430\u043D\u0442\u0438\u043B\u044C."@ru . "Percentil"@pt . . . . . . . "In statistics, a k-th percentile (percentile score or centile) is a score below which a given percentage k of scores in its frequency distribution falls (exclusive definition) or a score at or below which a given percentage falls (inclusive definition). The 25th percentile is also known as the first quartile (Q1), the 50th percentile as the median or second quartile (Q2), and the 75th percentile as the third quartile (Q3)."@en . . . . . . . "Ein empirisches (-)Quantil, auch Stichprobenquantil oder kurz Quantil genannt, ist in der Statistik eine Kennzahl einer Stichprobe. F\u00FCr jede Zahl zwischen 0 und 1 teilt \u2013 vereinfacht dargestellt \u2013 ein empirisches -Quantil die Stichprobe so, dass ein Anteil der Stichprobe von kleiner als das empirische -Quantil ist und ein Anteil von der Stichprobe gr\u00F6\u00DFer als das empirische -Quantil ist. Ist beispielsweise eine Stichprobe von Schuhgr\u00F6\u00DFen gegeben, so ist das empirische 0,35-Quantil diejenige Schuhgr\u00F6\u00DFe , so dass 35 % der Schuhgr\u00F6\u00DFen in der Stichprobe kleiner als sind und 65 % gr\u00F6\u00DFer als sind. Einige empirische -Quantile tragen Eigennamen. Zu ihnen geh\u00F6ren der Median, das obere Quartil und das untere Quartil sowie die Terzile, Quintile, Dezile und die Perzentile. Von den hier besprochenen empirischen Quantilen sind die Quantile (im Sinne der Wahrscheinlichkeitstheorie) zu unterscheiden. Diese sind Kennzahlen einer Wahrscheinlichkeitsverteilung und damit einer abstrakten (Mengen-)Funktion (\u00E4hnlich dem Erwartungswert), w\u00E4hrend die empirischen Quantile Kennzahlen einer Stichprobe sind (\u00E4hnlich dem arithmetischen Mittel)."@de . "\u0641\u064A \u0627\u0644\u0625\u062D\u0635\u0627\u0621 \u0627\u0644\u0645\u0626\u064A\u0646 (\u0628\u0627\u0644\u0625\u0646\u0643\u0644\u064A\u0632\u064A\u0629 Percentile \u0623\u0648 Centile) \u0647\u0648 \u0642\u064A\u0645\u0629 \u0644\u0645\u062A\u062D\u0648\u0644 \u062A\u0642\u0639 \u062A\u062D\u062A\u0647\u0627 \u0646\u0633\u0628\u0629 \u0645\u0639\u064A\u0646\u0629 \u0645\u0646 \u0642\u0631\u0627\u0621\u0627\u062A \u0627\u0644\u0639\u064A\u0646\u0629. \u0639\u0644\u0649 \u0633\u0628\u064A\u0644 \u0627\u0644\u0645\u062B\u0627\u0644 \u0627\u0644\u0645\u0626\u064A\u0646 \u0627\u0644\u0639\u0634\u0631\u0648\u0646 \u0644\u0645\u062C\u0645\u0648\u0639\u0629 \u0645\u0646 \u0627\u0644\u0623\u0639\u062F\u0627\u062F \u0647\u0648 \u0627\u0644\u0639\u062F\u062F \u0627\u0644\u0630\u064A \u064A\u0642\u0639 \u062A\u062D\u062A\u0647 \u0639\u0634\u0631\u0648\u0646 \u0628\u0627\u0644\u0645\u0627\u0626\u0629 \u0645\u0646 \u0639\u0646\u0627\u0635\u0631 \u0627\u0644\u0645\u062C\u0645\u0648\u0639\u0629. \u0627\u0644\u0631\u062A\u0628\u0629 \u0627\u0644\u0645\u0626\u064A\u0646\u064A\u0629\u060C \u0648\u0647\u064A \u0645\u0635\u0637\u0644\u062D \u0645\u0631\u062A\u0628\u0637 \u0628\u0627\u0644\u0645\u0626\u064A\u0646\u060C \u062A\u0633\u062A\u062E\u062F\u0645 \u0641\u064A \u0646\u062A\u0627\u0626\u062C \u0627\u0644\u0627\u0645\u062A\u062D\u0627\u0646\u0627\u062A \u0644\u0625\u0638\u0647\u0627\u0631 \u0631\u062A\u0628\u0629 \u0646\u062A\u064A\u062C\u0629 \u0627\u0644\u0637\u0627\u0644\u0628 \u0645\u0642\u0627\u0631\u0646\u0629 \u0628\u0632\u0645\u0644\u0627\u0626\u0647 \u0645\u0645\u0646 \u0623\u062C\u0631\u0648\u0627 \u0627\u0644\u0627\u0645\u062A\u062D\u0627\u0646 \u0646\u0641\u0633\u0647. \u0641\u0645\u062B\u0644\u0627 \u0625\u0630\u0627 \u0642\u064A\u0644 \u0623\u0646 \u062F\u0631\u062C\u0629 \u0623\u062D\u062F \u0627\u0644\u0637\u0644\u0627\u0628 \u0647\u064A \u0627\u0644\u0631\u062A\u0628\u0629 \u0627\u0644\u0645\u0626\u064A\u0646\u064A\u0629 \u0627\u0644\u062A\u0633\u0639\u0648\u0646 \u0641\u0647\u0630\u0627 \u064A\u0639\u0646\u064A \u0623\u0646 90% \u0645\u0646 \u0639\u062F\u062F \u0627\u0644\u0637\u0644\u0627\u0628 \u0627\u0644\u0630\u064A\u0646 \u062A\u0642\u062F\u0645\u0648\u0627 \u0644\u0644\u0627\u0645\u062A\u062D\u0627\u0646 \u062D\u0635\u0644\u0648\u0627 \u0639\u0644\u0649 \u062F\u0631\u062C\u0629 \u0623\u0642\u0644 \u0645\u0646 \u062F\u0631\u062C\u0629 \u0630\u0644\u0643 \u0627\u0644\u0637\u0627\u0644\u0628. \u064A\u0637\u0644\u0642 \u0639\u0644\u0649 \u0627\u0644\u0645\u0626\u064A\u0646 \u0627\u0644\u062E\u0627\u0645\u0633 \u0648\u0627\u0644\u0639\u0634\u0631\u064A\u0646 \u0627\u0633\u0645 \u0627\u0644\u0631\u064F\u0628\u064A\u0639 \u0627\u0644\u0623\u0648\u0644 Q1\u060C \u0648\u0627\u0644\u0645\u0626\u064A\u0646 \u0627\u0644\u062E\u0645\u0633\u064A\u0646 \u0627\u0644\u0648\u0633\u064A\u0637\u060C \u0648\u0627\u0644\u0645\u0626\u064A\u0646 \u0627\u0644\u062E\u0627\u0645\u0633 \u0648\u0627\u0644\u0633\u0628\u0639\u064A\u0646 \u0627\u0644\u0631\u064F\u0628\u064A\u0639 \u0627\u0644\u062B\u0627\u0644\u062B Q3."@ar . . . . . "El percentil es una medida de posici\u00F3n usada en estad\u00EDstica que indica, una vez ordenados los datos de menor a mayor, el valor de la variable por debajo del cual se encuentra un porcentaje dado de observaciones en un grupo. Por ejemplo, el percentil 20 es el valor bajo el cual se encuentran el 20 % de las observaciones, y el 80 % restante son mayores. Aparecen citados en la literatura cient\u00EDfica por primera vez por Francis Galton en 1885.\u200B \n* P25 = Q1 \n* P50 = Q2 = mediana \n* P75 = Q3C\u00E1lculo con datos no agrupados Un m\u00E9todo para establecer un percentil ser\u00EDa el siguiente:Calculamos , donde n es el n\u00FAmero de elementos de la muestra e i, el percentil. El resultado de realizar esta operaci\u00F3n es un n\u00FAmero real con parte entera E y parte decimal D.Teniendo en cuenta estos dos valores, aplicamos la siguiente funci\u00F3n: Esta \u00FAltima operaci\u00F3n brinda el valor del percentil pedido."@es . . "\u767E\u5206\u4F4D\u6570"@zh . "\u0645\u0626\u064A\u0646 (\u0625\u062D\u0635\u0627\u0621)"@ar . "\u041F\u0440\u043E\u0446\u0435\u043D\u0442\u0438\u043B\u044C"@ru . . . "El percentil es una medida de posici\u00F3n usada en estad\u00EDstica que indica, una vez ordenados los datos de menor a mayor, el valor de la variable por debajo del cual se encuentra un porcentaje dado de observaciones en un grupo. Por ejemplo, el percentil 20 es el valor bajo el cual se encuentran el 20 % de las observaciones, y el 80 % restante son mayores. Aparecen citados en la literatura cient\u00EDfica por primera vez por Francis Galton en 1885.\u200B \n* P25 = Q1 \n* P50 = Q2 = mediana \n* P75 = Q3C\u00E1lculo con datos no agrupados Esta \u00FAltima operaci\u00F3n brinda el valor del percentil pedido."@es . . "Il centile (o percentile) \u00E8 una misura usata in statistica per indicare il minimo valore sotto al quale ricade una data percentuale degli altri elementi sotto osservazione."@it . . "Ein empirisches (-)Quantil, auch Stichprobenquantil oder kurz Quantil genannt, ist in der Statistik eine Kennzahl einer Stichprobe. F\u00FCr jede Zahl zwischen 0 und 1 teilt \u2013 vereinfacht dargestellt \u2013 ein empirisches -Quantil die Stichprobe so, dass ein Anteil der Stichprobe von kleiner als das empirische -Quantil ist und ein Anteil von der Stichprobe gr\u00F6\u00DFer als das empirische -Quantil ist. Ist beispielsweise eine Stichprobe von Schuhgr\u00F6\u00DFen gegeben, so ist das empirische 0,35-Quantil diejenige Schuhgr\u00F6\u00DFe , so dass 35 % der Schuhgr\u00F6\u00DFen in der Stichprobe kleiner als sind und 65 % gr\u00F6\u00DFer als sind."@de . . "Em estat\u00EDstica descritiva, os percentis s\u00E3o medidas que dividem a amostra (por ordem crescente dos dados) em 100 partes, cada uma com uma percentagem de dados aproximadamente igual. O k-\u00E9simo percentil Pk \u00E9 o valor x (xk) que corresponde \u00E0 frequ\u00EAncia cumulativa de N .k/100, onde N \u00E9 o tamanho amostral. Portanto: \n* o 1\u00BA percentil determina o 1% menor dos dados; e \n* o 98\u00BA percentil determina os 98% menores dos dados. O 25\u00BA percentil \u00E9 o primeiro quartil; o 50\u00BA percentil \u00E9 a mediana. De igual forma, o 10\u00BA percentil \u00E9 o primeiro decil e o 80\u00BA percentil \u00E9 o oitavo decil. A defini\u00E7\u00E3o de Mendenhall e Sincich para o p-\u00E9simo percentil de N valores ordenados \u00E9 correspondente ao valor que ocupa a posi\u00E7\u00E3o , arredondada para o inteiro mais pr\u00F3ximo. \n* Obs.: A f\u00F3rmula percentil utilizada pelo Excel retornar\u00E1 valores diferentes da defini\u00E7\u00E3o de Mendenhall e Sincich. A defini\u00E7\u00E3o Minitab \u00E9 dada como a interpola\u00E7\u00E3o linear do valor correspondente a posi\u00E7\u00E3o."@pt . . . . . . . . . . . . "1114275310"^^ . . .