. . "\u6BCD\u6578"@zh . "In statistics, as opposed to its general use in mathematics, a parameter is any measured quantity of a statistical population that summarises or describes an aspect of the population, such as a mean or a standard deviation. If a population exactly follows a known and defined distribution, for example the normal distribution, then a small set of parameters can be measured which completely describes the population, and can be considered to define a probability distribution for the purposes of extracting samples from this population. A parameter is to a population as a statistic is to a sample; that is to say, a parameter describes the true value calculated from the full population, whereas a statistic is an estimated measurement of the parameter based on a subsample. Thus a \"statistical parameter\" can be more specifically referred to as a population parameter."@en . . . "En estad\u00EDstica s'anomena par\u00E0metre estad\u00EDstic, mesura estad\u00EDstica o par\u00E0metre poblacional a un valor representatiu d'una poblaci\u00F3, com per exemple la mitjana aritm\u00E8tica, la proporci\u00F3 d'individus que presenten determinada caracter\u00EDstica, o la desviaci\u00F3 t\u00EDpica. Un par\u00E0metre \u00E9s un nombre que resumeix la gran quantitat de dades que poden recollir-se en l'estudi d'una variable estad\u00EDstica. El c\u00E0lcul d'aquest nombre est\u00E0 , usualment, mitjan\u00E7ant una f\u00F3rmula aritm\u00E8tica obtinguda a partir de dades de la poblaci\u00F3. Els par\u00E0metres estad\u00EDstics s\u00F3n una conseq\u00FC\u00E8ncia del prop\u00F2sit de l'estad\u00EDstica: modelitzar la realitat. L'estudi d'una gran quantitat de dades individuals d'una poblaci\u00F3 pot ser conf\u00FAs i inoperant, pel que es fa necessari realitzar un resum que permeti tenir una idea global de la poblaci\u00F3, comparar-la amb d'altres, comprovar el seu ajust a un model ideal, realitzar sobre dades desconegudes de la mateixa i, en definitiva, prendre decisions. Els par\u00E0metres estad\u00EDstics contribueixen a aquestes tasques. Per exemple: es pot fer servir com a mesura i resum de la \"joventut\" d'una poblaci\u00F3, la mitjana aritm\u00E8tica de les edats dels seus membres, \u00E9s a dir, la suma de les edats, dividida entre el total d'individus que componen la poblaci\u00F3."@ca . "\u0421\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u0447\u0435\u0441\u043A\u0438\u0439 \u043F\u0430\u0440\u0430\u043C\u0435\u0442\u0440"@ru . "413291"^^ . "5353"^^ . . . . "Par\u00E2metro estat\u00EDstico"@pt . . "\u0421\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u0447\u0435\u0441\u043A\u0438\u0439 \u043F\u0430\u0440\u0430\u043C\u0435\u0442\u0440 \u0438\u043B\u0438 \u043F\u0430\u0440\u0430\u043C\u0435\u0442\u0440 \u0441\u043E\u0432\u043E\u043A\u0443\u043F\u043D\u043E\u0441\u0442\u0438 \u2014 \u044D\u0442\u043E \u0432\u0435\u043B\u0438\u0447\u0438\u043D\u0430, \u043A\u043E\u0442\u043E\u0440\u0430\u044F \u0438\u043D\u0434\u0435\u043A\u0441\u0438\u0440\u0443\u0435\u0442 \u0440\u0430\u0441\u043F\u0440\u0435\u0434\u0435\u043B\u0435\u043D\u0438\u0439 \u0432\u0435\u0440\u043E\u044F\u0442\u043D\u043E\u0441\u0442\u0435\u0439. \u0415\u0433\u043E \u043C\u043E\u0436\u043D\u043E \u0440\u0430\u0441\u0446\u0435\u043D\u0438\u0432\u0430\u0442\u044C \u043A\u0430\u043A \u0447\u0438\u0441\u043B\u043E\u0432\u0443\u044E \u0445\u0430\u0440\u0430\u043A\u0442\u0435\u0440\u0438\u0441\u0442\u0438\u043A\u0443 \u0441\u043E\u0432\u043E\u043A\u0443\u043F\u043D\u043E\u0441\u0442\u0438 \u0438\u043B\u0438 \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u0447\u0435\u0441\u043A\u043E\u0439 \u043C\u043E\u0434\u0435\u043B\u0438."@ru . "\u0421\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u0447\u043D\u0438\u0439 \u043F\u0430\u0440\u0430\u043C\u0435\u0442\u0440 \u0430\u0431\u043E \u043F\u0430\u0440\u0430\u043C\u0435\u0442\u0440 \u0433\u0435\u043D\u0435\u0440\u0430\u043B\u044C\u043D\u043E\u0457 \u0441\u0443\u043A\u0443\u043F\u043D\u043E\u0441\u0442\u0456 \u2014 \u0446\u0435 \u0432\u0435\u043B\u0438\u0447\u0438\u043D\u0430, \u0449\u043E \u0456\u043D\u0434\u0435\u043A\u0441\u0443\u0454 (\u043F\u0440\u043E\u043D\u0443\u043C\u0435\u0440\u043E\u0432\u0443\u0454) \u0441\u0456\u043C\u0435\u0439\u0441\u0442\u0432\u0430 \u0440\u043E\u0437\u043F\u043E\u0434\u0456\u043B\u0456\u0432 \u0439\u043C\u043E\u0432\u0456\u0440\u043D\u043E\u0441\u0442\u0435\u0439. \u0407\u0457 \u043C\u043E\u0436\u043D\u0430 \u0440\u043E\u0437\u0433\u043B\u044F\u0434\u0430\u0442\u0438 \u044F\u043A \u0447\u0438\u0441\u043B\u043E\u0432\u0443 \u0445\u0430\u0440\u0430\u043A\u0442\u0435\u0440\u0438\u0441\u0442\u0438\u043A\u0443 \u0433\u0435\u043D\u0435\u0440\u0430\u043B\u044C\u043D\u043E\u0457 \u0441\u0443\u043A\u0443\u043F\u043D\u043E\u0441\u0442\u0456 \u0430\u0431\u043E \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u0447\u043D\u043E\u0457 \u043C\u043E\u0434\u0435\u043B\u0456."@uk . "Em estat\u00EDstica, um par\u00E2metro \u00E9 um n\u00FAmero que resume a grande quantidade de dados que podem derivar do estudo de uma vari\u00E1vel estat\u00EDstica. O c\u00E1lculo deste n\u00FAmero est\u00E1 bem definido, usualmente mediante uma f\u00F3rmula aritm\u00E9tica obtida a partir de dados da popula\u00E7\u00E3o. Os par\u00E2metros estat\u00EDsticos s\u00E3o uma consequ\u00EAncia inevit\u00E1vel do prop\u00F3sito essencial da estat\u00EDstica: criar um modelo da realidade. O estudo de uma grande quantidade de dados individuais de uma popula\u00E7\u00E3o pode ser farragoso e inoperativo, pelo que se faz necess\u00E1rio realizar um resumo que permita ter uma ideia global da popula\u00E7\u00E3o, a comparar com outras, comprovar seu ajuste a um modelo ideal, realizar estimativas sobre dados desconhecidos da mesma e, em definitiva, tomar decis\u00F5es. A estas tarefas contribuem de modo essencial os par\u00E2metros estat\u00EDsticos. Por exemplo, costuma oferecer-se como resumo da juventude de uma popula\u00E7\u00E3o a m\u00E9dia aritm\u00E9tica das idades de seus membros, isto \u00E9, a soma de todas elas, dividida pelo total de indiv\u00EDduos que comp\u00F5em tal popula\u00E7\u00E3o."@pt . . . "Par\u00E0metre estad\u00EDstic"@ca . . "\u0627\u0644\u0645\u064E\u0639\u0644\u064E\u0645\u0629 \u0627\u0644\u0625\u062D\u0635\u0627\u0626\u064A\u0629 \u0647\u064A \u0643\u0645\u064A\u0629 \u0639\u062F\u062F\u064A\u0629 \u062A\u0645\u064A\u0651\u0632 \u0648\u00AB\u062A\u0644\u062E\u0635\u00BB \u0627\u0644\u062A\u0648\u0632\u0639 \u0627\u0644\u0627\u062D\u062A\u0645\u0627\u0644\u064A \u0644\u0644\u0645\u062C\u062A\u0645\u0639 \u0627\u0644\u0625\u062D\u0635\u0627\u0626\u064A. \u0648 \u064A\u0645\u0643\u0646 \u062A\u0639\u0631\u064A\u0641 \u0627\u0644\u0645\u0639\u0644\u0645\u0629 \u0627\u0644\u0625\u062D\u0635\u0627\u0626\u064A\u0629 \u0623\u064A\u0636\u0627 \u0628\u0623\u0646\u0647\u0627 \u062E\u0627\u0635\u064A\u0629 \u0639\u062F\u062F\u064A\u0629 \u0644\u0644\u0645\u062C\u062A\u0645\u0639 \u0627\u0644\u0625\u062D\u0635\u0627\u0626\u064A. \u0641\u0645\u062B\u0644\u0627 \u0644\u0648 \u0641\u0631\u0636\u0646\u0627 \u0645\u062C\u062A\u0645\u0639\u0627 \u0625\u062D\u0635\u0627\u0626\u064A\u0627 \u0630\u064A \u062A\u0648\u0632\u0639 \u0627\u062D\u062A\u0645\u0627\u0644\u064A \u0637\u0628\u064A\u0639\u064A \u0641\u0625\u0646 \u0627\u0644\u0645\u0639\u0644\u0645\u062A\u064A\u0646 \u0627\u0644\u0625\u062D\u0635\u0627\u0626\u064A\u062A\u064A\u0646 \u0627\u0644\u0644\u062A\u064A\u0646 \u0628\u0625\u0645\u0643\u0627\u0646\u0647\u0645\u0627 \u062A\u0648\u0635\u064A\u0641 \u0647\u0630\u0627 \u0627\u0644\u062A\u0648\u0632\u0639 \u0647\u0645\u0627 \u0627\u0644\u0645\u062A\u0648\u0633\u0637 \u0648\u0627\u0644\u0627\u0646\u062D\u0631\u0627\u0641 \u0627\u0644\u0645\u0639\u064A\u0627\u0631\u064A."@ar . . . . . . . . . . "\u0421\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u0447\u043D\u0438\u0439 \u043F\u0430\u0440\u0430\u043C\u0435\u0442\u0440"@uk . . . "\u0627\u0644\u0645\u064E\u0639\u0644\u064E\u0645\u0629 \u0627\u0644\u0625\u062D\u0635\u0627\u0626\u064A\u0629 \u0647\u064A \u0643\u0645\u064A\u0629 \u0639\u062F\u062F\u064A\u0629 \u062A\u0645\u064A\u0651\u0632 \u0648\u00AB\u062A\u0644\u062E\u0635\u00BB \u0627\u0644\u062A\u0648\u0632\u0639 \u0627\u0644\u0627\u062D\u062A\u0645\u0627\u0644\u064A \u0644\u0644\u0645\u062C\u062A\u0645\u0639 \u0627\u0644\u0625\u062D\u0635\u0627\u0626\u064A. \u0648 \u064A\u0645\u0643\u0646 \u062A\u0639\u0631\u064A\u0641 \u0627\u0644\u0645\u0639\u0644\u0645\u0629 \u0627\u0644\u0625\u062D\u0635\u0627\u0626\u064A\u0629 \u0623\u064A\u0636\u0627 \u0628\u0623\u0646\u0647\u0627 \u062E\u0627\u0635\u064A\u0629 \u0639\u062F\u062F\u064A\u0629 \u0644\u0644\u0645\u062C\u062A\u0645\u0639 \u0627\u0644\u0625\u062D\u0635\u0627\u0626\u064A. \u0641\u0645\u062B\u0644\u0627 \u0644\u0648 \u0641\u0631\u0636\u0646\u0627 \u0645\u062C\u062A\u0645\u0639\u0627 \u0625\u062D\u0635\u0627\u0626\u064A\u0627 \u0630\u064A \u062A\u0648\u0632\u0639 \u0627\u062D\u062A\u0645\u0627\u0644\u064A \u0637\u0628\u064A\u0639\u064A \u0641\u0625\u0646 \u0627\u0644\u0645\u0639\u0644\u0645\u062A\u064A\u0646 \u0627\u0644\u0625\u062D\u0635\u0627\u0626\u064A\u062A\u064A\u0646 \u0627\u0644\u0644\u062A\u064A\u0646 \u0628\u0625\u0645\u0643\u0627\u0646\u0647\u0645\u0627 \u062A\u0648\u0635\u064A\u0641 \u0647\u0630\u0627 \u0627\u0644\u062A\u0648\u0632\u0639 \u0647\u0645\u0627 \u0627\u0644\u0645\u062A\u0648\u0633\u0637 \u0648\u0627\u0644\u0627\u0646\u062D\u0631\u0627\u0641 \u0627\u0644\u0645\u0639\u064A\u0627\u0631\u064A."@ar . . . . "En estad\u00EDstica s'anomena par\u00E0metre estad\u00EDstic, mesura estad\u00EDstica o par\u00E0metre poblacional a un valor representatiu d'una poblaci\u00F3, com per exemple la mitjana aritm\u00E8tica, la proporci\u00F3 d'individus que presenten determinada caracter\u00EDstica, o la desviaci\u00F3 t\u00EDpica. Un par\u00E0metre \u00E9s un nombre que resumeix la gran quantitat de dades que poden recollir-se en l'estudi d'una variable estad\u00EDstica. El c\u00E0lcul d'aquest nombre est\u00E0 , usualment, mitjan\u00E7ant una f\u00F3rmula aritm\u00E8tica obtinguda a partir de dades de la poblaci\u00F3. Els par\u00E0metres estad\u00EDstics s\u00F3n una conseq\u00FC\u00E8ncia del prop\u00F2sit de l'estad\u00EDstica: modelitzar la realitat. L'estudi d'una gran quantitat de dades individuals d'una poblaci\u00F3 pot ser conf\u00FAs i inoperant, pel que es fa necessari realitzar un resum que permeti tenir una idea global de la poblaci\u00F3, "@ca . . . . . . . . "In der Statistik fassen aggregierende Parameter oder Ma\u00DFzahlen die wesentlichen Eigenschaften einer H\u00E4ufigkeitsverteilung, z. B. einer l\u00E4ngeren Reihe von Messdaten, oder einer Wahrscheinlichkeitsverteilung zusammen. Einige Parameter der deskriptiven Statistik entsprechen den Momenten von Zufallsvariablen. Der Begriff Parameter wird auch bei Verteilungsmodellen verwendet, man spricht dann von Verteilungsparametern. Er ist dann meist eine von mehreren Gr\u00F6\u00DFen, die zusammen mit der Verteilungsklasse die genaue Form einer Verteilung festlegen."@de . . "In statistics, as opposed to its general use in mathematics, a parameter is any measured quantity of a statistical population that summarises or describes an aspect of the population, such as a mean or a standard deviation. If a population exactly follows a known and defined distribution, for example the normal distribution, then a small set of parameters can be measured which completely describes the population, and can be considered to define a probability distribution for the purposes of extracting samples from this population."@en . "\u0421\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u0447\u043D\u0438\u0439 \u043F\u0430\u0440\u0430\u043C\u0435\u0442\u0440 \u0430\u0431\u043E \u043F\u0430\u0440\u0430\u043C\u0435\u0442\u0440 \u0433\u0435\u043D\u0435\u0440\u0430\u043B\u044C\u043D\u043E\u0457 \u0441\u0443\u043A\u0443\u043F\u043D\u043E\u0441\u0442\u0456 \u2014 \u0446\u0435 \u0432\u0435\u043B\u0438\u0447\u0438\u043D\u0430, \u0449\u043E \u0456\u043D\u0434\u0435\u043A\u0441\u0443\u0454 (\u043F\u0440\u043E\u043D\u0443\u043C\u0435\u0440\u043E\u0432\u0443\u0454) \u0441\u0456\u043C\u0435\u0439\u0441\u0442\u0432\u0430 \u0440\u043E\u0437\u043F\u043E\u0434\u0456\u043B\u0456\u0432 \u0439\u043C\u043E\u0432\u0456\u0440\u043D\u043E\u0441\u0442\u0435\u0439. \u0407\u0457 \u043C\u043E\u0436\u043D\u0430 \u0440\u043E\u0437\u0433\u043B\u044F\u0434\u0430\u0442\u0438 \u044F\u043A \u0447\u0438\u0441\u043B\u043E\u0432\u0443 \u0445\u0430\u0440\u0430\u043A\u0442\u0435\u0440\u0438\u0441\u0442\u0438\u043A\u0443 \u0433\u0435\u043D\u0435\u0440\u0430\u043B\u044C\u043D\u043E\u0457 \u0441\u0443\u043A\u0443\u043F\u043D\u043E\u0441\u0442\u0456 \u0430\u0431\u043E \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u0447\u043D\u043E\u0457 \u043C\u043E\u0434\u0435\u043B\u0456."@uk . "\u0645\u0639\u0644\u0645\u0629 \u0625\u062D\u0635\u0627\u0626\u064A\u0629"@ar . "Par\u00E1metro estad\u00EDstico"@es . . . . . . . . . . . . . . "In der Statistik fassen aggregierende Parameter oder Ma\u00DFzahlen die wesentlichen Eigenschaften einer H\u00E4ufigkeitsverteilung, z. B. einer l\u00E4ngeren Reihe von Messdaten, oder einer Wahrscheinlichkeitsverteilung zusammen. Einige Parameter der deskriptiven Statistik entsprechen den Momenten von Zufallsvariablen. Der Begriff Parameter wird auch bei Verteilungsmodellen verwendet, man spricht dann von Verteilungsparametern. Er ist dann meist eine von mehreren Gr\u00F6\u00DFen, die zusammen mit der Verteilungsklasse die genaue Form einer Verteilung festlegen."@de . . "Statistical parameter"@en . . . . "1115934795"^^ . . . "\u6BCD\u6578\uFF08\u82F1\u8A9E\uFF1Aparameter\uFF09\uFF0C\u4EA6\u7A31\u6BCD\u6578 \uFF0C\u5728\u7EDF\u8BA1\u5B66\u4E2D\u6307\u603B\u4F53\u4E2D\u91CF\u6E2C\u5230\uFF0C\u53EF\u4EE5\u63CF\u8FF0\u7E3D\u9AD4\u6027\u8CEA\u7684\u91CF\u6E2C\u91CF\uFF0C\u4F8B\u5982\u5E73\u5747\u6570\u6216\u6A19\u6E96\u5DEE\u3002\u82E5\u603B\u4F53\u4F9D\u5FAA\u4E00\u5DF2\u77E5\u7684\u7279\u5B9A\u5206\u4F48\uFF08\u4F8B\u5982\u6B63\u6001\u5206\u5E03\uFF09\uFF0C\u53EF\u4EE5\u7528\u9019\u6BCD\u6578\u4F86\u5B8C\u5168\u7684\u63CF\u8FF0\u7E3D\u9AD4\uFF0C\u4E5F\u53EF\u4EE5\u5B9A\u7FA9\u5728\u6B64\u7E3D\u9AD4\u4E2D\u6A23\u672C\u53EF\u80FD\u6709\u7684\u6982\u7387\u5206\u5E03\u3002 \u6BCD\u6578\u662F\u91DD\u5C0D\u603B\u4F53\uFF0C\u800C\u7EDF\u8BA1\u91CF\u662F\u91DD\u5C0D\u7D71\u8A08\u6A23\u672C\u7684\u3002\u6BCD\u6578\u91CF\u6E2C\u603B\u4F53\u4E2D\u7684\u771F\u5BE6\u6578\u503C\uFF0C\u800C\u7EDF\u8BA1\u91CF\u662F\u7528\u6A23\u672C\u4E2D\u6240\u4F30\u8A08\u7684\u7D50\u679C\u3002\u56E0\u6B64\u7D71\u8A08\u6BCD\u6578\uFF08\u82F1\u8A9E\uFF1Astatistical parameter\uFF09\u53EF\u4EE5\u66F4\u7CBE\u78BA\u7684\u8868\u793A\u70BA\u603B\u4F53\u6BCD\u6578\uFF08\u82F1\u8A9E\uFF1Apopulation parameter\uFF09\u3002"@zh . . . "En estad\u00EDstica, un par\u00E1metro es un n\u00FAmero que resume la gran cantidad de datos que pueden derivarse del estudio de una variable estad\u00EDstica.\u200B El c\u00E1lculo de este n\u00FAmero est\u00E1 bien definido, usualmente mediante una f\u00F3rmula aritm\u00E9tica obtenida a partir de datos de la poblaci\u00F3n.\u200B\u200B Los par\u00E1metros estad\u00EDsticos son una consecuencia inevitable del prop\u00F3sito esencial de la estad\u00EDstica: crear un modelo de la realidad.\u200B"@es . "\u6BCD\u6578\uFF08\u82F1\u8A9E\uFF1Aparameter\uFF09\uFF0C\u4EA6\u7A31\u6BCD\u6578 \uFF0C\u5728\u7EDF\u8BA1\u5B66\u4E2D\u6307\u603B\u4F53\u4E2D\u91CF\u6E2C\u5230\uFF0C\u53EF\u4EE5\u63CF\u8FF0\u7E3D\u9AD4\u6027\u8CEA\u7684\u91CF\u6E2C\u91CF\uFF0C\u4F8B\u5982\u5E73\u5747\u6570\u6216\u6A19\u6E96\u5DEE\u3002\u82E5\u603B\u4F53\u4F9D\u5FAA\u4E00\u5DF2\u77E5\u7684\u7279\u5B9A\u5206\u4F48\uFF08\u4F8B\u5982\u6B63\u6001\u5206\u5E03\uFF09\uFF0C\u53EF\u4EE5\u7528\u9019\u6BCD\u6578\u4F86\u5B8C\u5168\u7684\u63CF\u8FF0\u7E3D\u9AD4\uFF0C\u4E5F\u53EF\u4EE5\u5B9A\u7FA9\u5728\u6B64\u7E3D\u9AD4\u4E2D\u6A23\u672C\u53EF\u80FD\u6709\u7684\u6982\u7387\u5206\u5E03\u3002 \u6BCD\u6578\u662F\u91DD\u5C0D\u603B\u4F53\uFF0C\u800C\u7EDF\u8BA1\u91CF\u662F\u91DD\u5C0D\u7D71\u8A08\u6A23\u672C\u7684\u3002\u6BCD\u6578\u91CF\u6E2C\u603B\u4F53\u4E2D\u7684\u771F\u5BE6\u6578\u503C\uFF0C\u800C\u7EDF\u8BA1\u91CF\u662F\u7528\u6A23\u672C\u4E2D\u6240\u4F30\u8A08\u7684\u7D50\u679C\u3002\u56E0\u6B64\u7D71\u8A08\u6BCD\u6578\uFF08\u82F1\u8A9E\uFF1Astatistical parameter\uFF09\u53EF\u4EE5\u66F4\u7CBE\u78BA\u7684\u8868\u793A\u70BA\u603B\u4F53\u6BCD\u6578\uFF08\u82F1\u8A9E\uFF1Apopulation parameter\uFF09\u3002"@zh . . . . "En estad\u00EDstica, un par\u00E1metro es un n\u00FAmero que resume la gran cantidad de datos que pueden derivarse del estudio de una variable estad\u00EDstica.\u200B El c\u00E1lculo de este n\u00FAmero est\u00E1 bien definido, usualmente mediante una f\u00F3rmula aritm\u00E9tica obtenida a partir de datos de la poblaci\u00F3n.\u200B\u200B Los par\u00E1metros estad\u00EDsticos son una consecuencia inevitable del prop\u00F3sito esencial de la estad\u00EDstica: crear un modelo de la realidad.\u200B El estudio de una gran cantidad de datos individuales de una poblaci\u00F3n puede ser farragoso e inoperativo, por lo que se hace necesario realizar un resumen que permita tener una idea global de la poblaci\u00F3n, compararla con otras, comprobar su ajuste a un modelo ideal, realizar estimaciones sobre datos desconocidos de la misma y, en definitiva, tomar decisiones. A estas tareas contribuyen de modo esencial los par\u00E1metros estad\u00EDsticos. Por ejemplo, suele ofrecerse como resumen de la juventud de una poblaci\u00F3n la media aritm\u00E9tica de las edades de sus miembros, esto es, la suma de todas ellas, dividida por el total de individuos que componen tal poblaci\u00F3n."@es . . . . "\u0421\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u0447\u0435\u0441\u043A\u0438\u0439 \u043F\u0430\u0440\u0430\u043C\u0435\u0442\u0440 \u0438\u043B\u0438 \u043F\u0430\u0440\u0430\u043C\u0435\u0442\u0440 \u0441\u043E\u0432\u043E\u043A\u0443\u043F\u043D\u043E\u0441\u0442\u0438 \u2014 \u044D\u0442\u043E \u0432\u0435\u043B\u0438\u0447\u0438\u043D\u0430, \u043A\u043E\u0442\u043E\u0440\u0430\u044F \u0438\u043D\u0434\u0435\u043A\u0441\u0438\u0440\u0443\u0435\u0442 \u0440\u0430\u0441\u043F\u0440\u0435\u0434\u0435\u043B\u0435\u043D\u0438\u0439 \u0432\u0435\u0440\u043E\u044F\u0442\u043D\u043E\u0441\u0442\u0435\u0439. \u0415\u0433\u043E \u043C\u043E\u0436\u043D\u043E \u0440\u0430\u0441\u0446\u0435\u043D\u0438\u0432\u0430\u0442\u044C \u043A\u0430\u043A \u0447\u0438\u0441\u043B\u043E\u0432\u0443\u044E \u0445\u0430\u0440\u0430\u043A\u0442\u0435\u0440\u0438\u0441\u0442\u0438\u043A\u0443 \u0441\u043E\u0432\u043E\u043A\u0443\u043F\u043D\u043E\u0441\u0442\u0438 \u0438\u043B\u0438 \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u0447\u0435\u0441\u043A\u043E\u0439 \u043C\u043E\u0434\u0435\u043B\u0438."@ru . . . "Parameter (Statistik)"@de . . . . . "Em estat\u00EDstica, um par\u00E2metro \u00E9 um n\u00FAmero que resume a grande quantidade de dados que podem derivar do estudo de uma vari\u00E1vel estat\u00EDstica. O c\u00E1lculo deste n\u00FAmero est\u00E1 bem definido, usualmente mediante uma f\u00F3rmula aritm\u00E9tica obtida a partir de dados da popula\u00E7\u00E3o. Os par\u00E2metros estat\u00EDsticos s\u00E3o uma consequ\u00EAncia inevit\u00E1vel do prop\u00F3sito essencial da estat\u00EDstica: criar um modelo da realidade."@pt .