El objetivo de este libro es presentar las técnicas estadísticas de análisis de datos de manera que puedan ser utilizadas por los investigadores de cualquier campo de conocimiento. No está dirigido a los especialistas en Estadística, sino a los usuarios que necesitan la estadística como herramienta en su investigación. Por ello, el enfoque es eminentemente práctico: se muestra no solo cómo y por qué funcionan los diferentes métodos, sino también el modo en que pueden ser aplicados con algunos de los programas estadísticos más conocidos: R (programa gratuito), STATISTICA Y SPSS. Se utilizan múltiples ejemplos realestomados de diferentes campos, para mostrar paso a paso como pueden superarse las dificultades que surgen habitualmente en la aplicación de las técnicas de análisis de datos. No es imprescindible, por consiguiente, que el lector tenga un buen nivel de conocimientos estadísticos. ÍNDICE RESUMIDO: Representación de datos. Estadística descriptiva. Distribución. Intervalos de confianza. Contraste de hipótesis. Contraste de bondad de ajuste. Contraste en homogeneidad envariables cualitativas. Contrastes de independencia y asociación en variables cualitativas. Contrastes de homogeneidad en variables cuantitativas. Contrastes de independencia y asociación en variables cuantitativas. Regresiones. Assortment temporales. Análisis multivariante. Modelos de simulación.
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