[left][br][/left][justify][b]Gráficos Estadísticos[/b][/justify]Los gráficos estadísticos, también conocidos como técnicas gráficas, son gráficos en el[br]campo de las estadísticas que se utilizan para visualizar datos cuantitativos.[br]Los métodos estadísticos gráficos tienen 4 objetivos: La organización espacial[br]en los siglos XVII y XVIII.[br]Los gráficos estadísticos han sido fundamentales para el desarrollo de la ciencia y la fecha[br]de los primeros intentos para analizar datos[justify][/justify]Los gráficos estadísticos más usuales son:[list] [*]Gráfico o diagrama de barras.[/*][*]Gráfico o diagrama de sectores.[/*][*]Histograma.[/*][*]Polígono de frecuencias.[/*][*]Pictograma.[/*][/list][br][img width=258,height=194]https://lh3.googleusercontent.com/AuQ74jSIU77JWMixWfSqKF5CgKV37FCdR6hPF-RwmO_SJDUj6ub61y2aIULDB8GCQlJZMgZd6kKdhtO-64wB_uq0a6AxatFr40yjFQnbv-35N0RXD3AydAlH4ksm6KIXL_SyUbHZSP_B0WqgbA[/img][br] Los diagramas de barras se usan[br][justify]para representar gráficamente series estadísticas de[br]valores en un sistema de ejes cartesianos, de manera que en las abscisas se[br]indica el valor de la variable estadística y en las ordenadas se señala su[br]frecuencia absoluta. La estadística es la base del conocimiento práctico y[br]real.  La estadística es una de las ramas[br]de la ciencia matemática que se centra en el trabajo con datos e informaciones[br]que son ya de por sí numéricos o que ella misma se encarga de transformar en[br]números. Más específicamente,[br]la Estadística cumple una función descriptiva, (permite[br]precisar las características psicológicas de individuos y grupos), y además,[br]generaliza esas características a las poblaciones de interés[br](Estadística Inferencial).[br][br][img]https://i.pinimg.com/originals/17/4b/4b/174b4b741e68ebe0f7c7dbff2efca246.png[/img][br][br]HISTOGRAMAS[br]Se utiliza con variables continuas, o agrupadas en intervalos, representando en [br]el eje X los intervalos de clase y levantando rectángulos de base la longitud de[br]los distintos intervalos y de altura tal que el área sea proporcional a las[br]frecuencias representadas. El polígono de frecuencias se obtiene uniendo los[br]puntos medios de las bases superiores de los rectángulos. Los histogramas[br]permiten compara datos de una forma rápida [br][br][img]data:image/jpeg;base64,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[/img][br][br]DIAGRAMA DE SECTORES[br]Es un gráfico empleado fundamentalmente para variables cualitativas. Las [br]modalidades se representan en un círculo dividido en sectores. La amplitud de[br]cada sector, en grados, se obtiene multiplicando la frecuencia relativa de cada[br]modalidad o valor por 360º [br][img]https://ekuatio.com/wp-content/uploads/diagrama-de-sectores-300x242.png[/img][br][br][br]PICTOGRAMAS[br]Son gráficos con dibujos alusivos al carácter que se está estudiando y cuyo [br]tamaño es proporcional a la frecuencia que representan; dicha frecuencia se[br]suele representar. 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[/img][br][br][/justify][justify][/justify]Historia [br] En el siglo XVIII se utilizaron muchas formas familiares, que incluyen diagramas bivariados, mapas estadísticos, gráficos de barras y papel de coordenadas. Gráficos estadísticos desarrollados a través[br]de la atención a cuatro problemas: [br]Desde la década de 1970, los gráficos estadísticos han vuelto a aparecer como una herramienta analítica importante con la revitalización de los gráficos por computadora y las tecnologías relacionadas. [br] [br][br][br][justify][b]Video sobre Gráficos estadísticos:[/b][/justify][justify][b]https://youtu.be/pT3OfSsdXC8[/b][/justify][br][br]