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Es, por tanto, un lenguaje universal ampliamente utilizado en las ciencias sociales, en las ciencias experimentales, en las ciencias de la salud y en las ingenierías. Las Tecnologías de la Información y la Comunicación (TIC) han incrementado notablemente la producción, diseminación y tratamiento de la información estadística. En particular, Internet es una fuente inagotable de datos que pueden ofrecer información y, a partir de ella, conocimiento. Por otra parte, la constante evolución de los ordenadores personales y de los programas informáticos de estadística y análisis de datos posibilita y facilita el análisis de grandes cantidades de datos mediante el uso de técnicas estadísticas y de minería de datos. En la Sociedad de la Información se hace pues imprescindible disponer de un cierto conocimiento estadístico incluso para poder comprender e interpretar correctamente los indicadores económicos (IPC, inflación, tasa de desempleo, Euribor, etc.), los indicadores bibliométricos (factor de impacto de una revista, cuartil en el que se sitúa, vida media de las citas recibidas, etc.) o los indicadores sociales (esperanza de vida, índice de alfabetización, índice de pobreza, indicador social de desarrollo sostenible, etc.) a los que frecuentemente se hace referencia en los medios de comunicación. 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For more information see, http://dublincore.org/documents/dces/."],["elementContainer",["element",{"elementId":"50"},["name","Title"],["description","A name given to the resource"],["elementTextContainer",["elementText",{"elementTextId":"12016"},["text","Metodología y Técnicas Cuantitativas de Investigació"]]]],["element",{"elementId":"43"},["name","Identifier"],["description","An unambiguous reference to the resource within a given context"],["elementTextContainer",["elementText",{"elementTextId":"12017"},["text","https://riunet.upv.es/bitstream/handle/10251/17004/Metodolog%C3%ADa%20y%20t%C3%A9cnicas%20cuantitativas%20de%20investigaci%C3%B3n_6060.pdf?sequence=3"]]]],["element",{"elementId":"41"},["name","Description"],["description","An account of the resource"],["elementTextContainer",["elementText",{"elementTextId":"12018"},["text","La metodología de investigación cuantitativa se basa en el uso de técnicas estadísticas para conocer ciertos aspectos de interés sobre la población que se está estudiando.  Se utiliza en diferentes ámbitos, desde estudios de opinión hasta diagnósticos para establecer políticas de desarrollo. Descansa en el principio de que las partes representan al todo; estudiando a cierto número de sujetos de la población (una muestra) nos podemos hacer una idea de cómo es la población en su conjunto. Concretamente, se pretende conocer la distribución de ciertas variables de interés en una población."]]]],["element",{"elementId":"38"},["name","Coverage"],["description","The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant"],["elementTextContainer",["elementText",{"elementTextId":"12019"},["text","2012"]]]],["element",{"elementId":"45"},["name","Publisher"],["description","An entity responsible for making the resource available"],["elementTextContainer",["elementText",{"elementTextId":"12020"},["text","Universidad Politécnica de Valencia "]]]]]]],["tagContainer",["tag",{"tagId":"4524"},["name","Estadástica descriptiva"]],["tag",{"tagId":"4526"},["name","inferncia estadística."]],["tag",{"tagId":"4525"},["name","muestreo"]]]],["item",{"itemId":"2402","public":"1","featured":"1"},["fileContainer",["file",{"fileId":"2324"},["src","https://bvhumanidades.usac.edu.gt/files/original/d1e21ec10f0a49f5b5da2bb5f1f56736.pdf"],["authentication","cbd499ead03955053bf8d70aa8027c96"]]],["collection",{"collectionId":"5"},["elementSetContainer",["elementSet",{"elementSetId":"1"},["name","Dublin Core"],["description","The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. 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For more information see, http://dublincore.org/documents/dces/."],["elementContainer",["element",{"elementId":"50"},["name","Title"],["description","A name given to the resource"],["elementTextContainer",["elementText",{"elementTextId":"12011"},["text","Apuntes de Estadística para ingenieros."]]]],["element",{"elementId":"43"},["name","Identifier"],["description","An unambiguous reference to the resource within a given context"],["elementTextContainer",["elementText",{"elementTextId":"12012"},["text","http://www4.ujaen.es/~ajsaez/recursos/EstadisticaIngenieros.pdf"]]]],["element",{"elementId":"41"},["name","Description"],["description","An account of the resource"],["elementTextContainer",["elementText",{"elementTextId":"12013"},["text","El objeto fundamental de la edición de este documento es facilitar a los alumnos de ingeniería de la Escuela Politécnica Superior de Linares el desarrollo de los contenidos teóricos de la asignatura Estadística. Desde un punto de vista menos local, espero que sea útil, en alguna medida, a todo aquel que necesite conocimientos básicos de las técnicas estadísticas más usuales en el ambiente cientíco-tecnológico. 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For more information see, http://dublincore.org/documents/dces/."],["elementContainer",["element",{"elementId":"50"},["name","Title"],["description","A name given to the resource"],["elementTextContainer",["elementText",{"elementTextId":"7455"},["text","PEDAGOGÍA"]]]]]]]],["itemType",{"itemTypeId":"1"},["name","Text"],["description","A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text."]],["elementSetContainer",["elementSet",{"elementSetId":"1"},["name","Dublin Core"],["description","The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/."],["elementContainer",["element",{"elementId":"50"},["name","Title"],["description","A name given to the resource"],["elementTextContainer",["elementText",{"elementTextId":"12006"},["text","Introducción a la estadística inferencial "]]]],["element",{"elementId":"43"},["name","Identifier"],["description","An unambiguous reference to the resource within a given context"],["elementTextContainer",["elementText",{"elementTextId":"12007"},["text","null"]]]],["element",{"elementId":"41"},["name","Description"],["description","An account of the resource"],["elementTextContainer",["elementText",{"elementTextId":"12008"},["text","Esta asignatura ha sido orientada a entender los principios en los que se basa  la estadística inferencial. Entender significa que es posible saber, en primer lugar, qué  razones han llevado a elegir un determinado cálculo y, no menos importante, la relevancia real de los resultados de ese cálculo.  La estadística inferencial no es más que un argumento. Un buen argumento  hace creíble una afirmación. En nuestro caso, cualquier estudio necesitará, al menos  dos argumentos sólidos: el estadístico y el relativo al diseño de investigación (lo que  se puede aprender en Métodos I y II). Desde este punto de vista, nuestra tarea es poder entender (y calibrar) los argumentos estadísticos y también poder construirlos  nosotros mismos.  "]]]],["element",{"elementId":"38"},["name","Coverage"],["description","The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant"],["elementTextContainer",["elementText",{"elementTextId":"12009"},["text","null"]]]],["element",{"elementId":"45"},["name","Publisher"],["description","An entity responsible for making the resource available"],["elementTextContainer",["elementText",{"elementTextId":"12010"},["text","Galeon"]]]]]]],["tagContainer",["tag",{"tagId":"4521"},["name","estadística."]],["tag",{"tagId":"4511"},["name","muestra"]],["tag",{"tagId":"4260"},["name","población"]],["tag",{"tagId":"4520"},["name","Variable"]]]],["item",{"itemId":"2400","public":"1","featured":"1"},["fileContainer",["file",{"fileId":"2322"},["src","https://bvhumanidades.usac.edu.gt/files/original/c4f7349a8a17e103d4f0ce2f7c2613d0.pdf"],["authentication","53acb389678244780630fdaf143633c6"]]],["collection",{"collectionId":"5"},["elementSetContainer",["elementSet",{"elementSetId":"1"},["name","Dublin Core"],["description","The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. 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For more information see, http://dublincore.org/documents/dces/."],["elementContainer",["element",{"elementId":"50"},["name","Title"],["description","A name given to the resource"],["elementTextContainer",["elementText",{"elementTextId":"12001"},["text","Relaciones entre variables "]]]],["element",{"elementId":"43"},["name","Identifier"],["description","An unambiguous reference to the resource within a given context"],["elementTextContainer",["elementText",{"elementTextId":"12002"},["text","http://ocw.um.es/ciencias/estadistica-en-el-grado-de-ciencia-y-tecnologia-de/material-de-clase-1/cyta-estadistica-tema6-2010.pdf"]]]],["element",{"elementId":"41"},["name","Description"],["description","An account of the resource"],["elementTextContainer",["elementText",{"elementTextId":"12003"},["text","En este tema estudiamos cómo construir un modelo para representar y analizar la dependencia de una variable Y (variable aleatoria dependiente, de naturaleza continua) con respecto a una variable independiente X. Si la variable X es cualitativa (factor) el modelo de relación se llama de ANOVA y si es cuantitativa se llama de REGRESIÓN SIMPLE. También analizamos la relación entre dos variables cualitativas mediante los denominados contrastes de independencia de chi-cuadrado"]]]],["element",{"elementId":"38"},["name","Coverage"],["description","The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant"],["elementTextContainer",["elementText",{"elementTextId":"12004"},["text","2009-10-01"]]]],["element",{"elementId":"45"},["name","Publisher"],["description","An entity responsible for making the resource available"],["elementTextContainer",["elementText",{"elementTextId":"12005"},["text","OCW Universidad de Murcia"]]]]]]],["tagContainer",["tag",{"tagId":"4518"},["name","Anova"]],["tag",{"tagId":"4519"},["name","variables."]]]],["item",{"itemId":"2399","public":"1","featured":"1"},["fileContainer",["file",{"fileId":"2321"},["src","https://bvhumanidades.usac.edu.gt/files/original/079cf2a780c9db46319abdccc94f86fc.pdf"],["authentication","8c6719916942b27911b534d90c806946"]]],["collection",{"collectionId":"5"},["elementSetContainer",["elementSet",{"elementSetId":"1"},["name","Dublin Core"],["description","The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/."],["elementContainer",["element",{"elementId":"50"},["name","Title"],["description","A name given to the resource"],["elementTextContainer",["elementText",{"elementTextId":"7455"},["text","PEDAGOGÍA"]]]]]]]],["itemType",{"itemTypeId":"1"},["name","Text"],["description","A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text."]],["elementSetContainer",["elementSet",{"elementSetId":"1"},["name","Dublin Core"],["description","The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/."],["elementContainer",["element",{"elementId":"50"},["name","Title"],["description","A name given to the resource"],["elementTextContainer",["elementText",{"elementTextId":"11996"},["text","Intervalos de Confianza y Contrastes de Hipótesis "]]]],["element",{"elementId":"43"},["name","Identifier"],["description","An unambiguous reference to the resource within a given context"],["elementTextContainer",["elementText",{"elementTextId":"11997"},["text","http://ocw.um.es/ciencias/estadistica-en-el-grado-de-ciencia-y-tecnologia-de/material-de-clase-1/cyta-estadistica-tema5-2010.pdf"]]]],["element",{"elementId":"41"},["name","Description"],["description","An account of the resource"],["elementTextContainer",["elementText",{"elementTextId":"11998"},["text","En el tema que nos ocupa el objetivo que queremos resolver es de estimación de parámetros desconocidos de la población, como una media de una población que puede ser representada por una variable normal, o una proporción de un modelo de Bernoulli. Son dos los procedimientos que se usarán para estimar dichos parámetros desconocidos: intervalos de conanza y contrastes de hipótesis. Además, siempre dispondremos de una muestra aleatoria simple extraída de la población de interés que nos aportará información necesaria para poder ejecutar los procedimientos anteriores, como medias o desviaciones típicas muestrales. 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Por ejemplo, al lanzar una moneda unas veces resultará cara y otras cruz. Estos fenómenos, denominados aleatorios, se ven afectados por el azar. El azar está relacionado con el desconocimiento y la incertidumbre. Desconocemos de antemano qué resultado saldrá al tirar la moneda al aire, o el número de aciertos en un boleto de la lotería primitiva, o si al invertir una cierta cantidad de dinero en un negocio ganaremos más o menos dinero, o si al comprar un producto saldrá defectuoso o no. También desconocemos el tiempo que tardaremos en llegar al Campus o si una medicina será más efectiva que otra para una determinada enfermedad o si un nuevo mecanismo de fabricación produce menos unidades defectuosas. Una compañía de seguros también desconoce el número de primas que deberá abonar el próximo año por un determinado accidente. El efecto del azar está presente en estas situaciones citadas y en muchas otras de la vida cotidiana. 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