{"id":14109,"date":"2025-07-15T13:34:47","date_gmt":"2025-07-15T13:34:47","guid":{"rendered":"https:\/\/functiontranslator.com\/distr-norm-n\/"},"modified":"2021-02-26T08:54:39","modified_gmt":"2021-02-26T08:54:39","slug":"norm-dist","status":"publish","type":"post","link":"https:\/\/functiontranslator.com\/es\/norm-dist\/","title":{"rendered":"DISTR.NORM.N"},"content":{"rendered":"

Introducci\u00f3n a la Distribuci\u00f3n Normal en Hojas de C\u00e1lculo<\/h2>\n

La funci\u00f3n NORM.DIST en Excel, conocida como DISTR.NORM.N en Google Sheets, es esencial para analizar datos que se ajustan a una distribuci\u00f3n normal. Este tipo de distribuci\u00f3n es crucial en estad\u00edsticas, permitiendo a los usuarios calcular probabilidades y explorar caracter\u00edsticas de conjuntos de datos que siguen un patr\u00f3n normalizado.<\/p>\n

Sintaxis y Ejemplos de Uso<\/h2>\n

La sintaxis de la funci\u00f3n es la siguiente:<\/p>\n

 NORM.DIST(x, media, desviaci\u00f3n_est\u00e1ndar, acumulado) <\/code><\/pre>\n
    \n
  • x<\/strong>: El valor para el que se desea calcular la distribuci\u00f3n.<\/li>\n
  • media<\/strong>: La media de la distribuci\u00f3n normal.<\/li>\n
  • desviaci\u00f3n_est\u00e1ndar<\/strong>: La desviaci\u00f3n est\u00e1ndar de la distribuci\u00f3n.<\/li>\n
  • acumulado<\/strong>: Un valor l\u00f3gico que determina la forma de la funci\u00f3n. Si es VERDADERO, devuelve la funci\u00f3n de distribuci\u00f3n acumulativa; si es FALSO, devuelve la funci\u00f3n de densidad de probabilidad.<\/li>\n<\/ul>\n
    Ejemplo en Excel:<\/p>\n
     =NORM.DIST(4, 3, 1.5, VERDADERO) <\/code><\/pre>\n
    Este ejemplo calcular\u00e1 la probabilidad acumulada de que un valor tomado de una distribuci\u00f3n normal con media 3 y desviaci\u00f3n est\u00e1ndar 1.5 sea menor o igual a 4.<\/p>\n
    Aplicaciones Pr\u00e1cticas<\/h2>\n
    Caso 1: Evaluaci\u00f3n de resultados de ex\u00e1menes<\/h3>\n
    Supongamos que un profesor tiene las calificaciones de un examen y desea saber qu\u00e9 porcentaje de estudiantes ha superado el promedio. Si las calificaciones siguen una distribuci\u00f3n normal con una media de 70 y una desviaci\u00f3n est\u00e1ndar de 10, podemos calcular esto como:<\/p>\n
     =NORM.DIST(70, 70, 10, VERDADERO) <\/code><\/pre>\n
    El resultado ser\u00e1 0.5, indicando que el 50% de los estudiantes obtuvo menos de 70 puntos.<\/p>\n
    Caso 2: Control de calidad en producci\u00f3n<\/h3>\n
    En un contexto industrial, supongamos que una empresa fabrica componentes con un di\u00e1metro que debe seguir muy de cerca especificaciones precisas: una media de 5 cm con una desviaci\u00f3n est\u00e1ndar de 0.02 cm. Utilizando NORM.DIST, podemos encontrar la probabilidad de que una pieza tomada al azar cumpla con las especificaciones de m\u00e1s\/menos 0.03 cm de la norma.<\/p>\n
     =NORM.DIST(5.03, 5, 0.02, VERDADERO) - NORM.DIST(4.97, 5, 0.02, VERDADERO) <\/code><\/pre>\n
    Esto proporcionar\u00e1 la probabilidad de que el di\u00e1metro de una pieza est\u00e9 entre 4.97 cm y 5.03 cm.<\/p>\n
    Conclusi\u00f3n<\/h2>\n
    La funci\u00f3n NORM.DIST es extremadamente \u00fatil para gestionar y prever comportamientos dentro de un conjunto de datos que sigue una distribuci\u00f3n normal, permitiendo realizar c\u00e1lculos probables en diversas situaciones, desde el \u00e1mbito acad\u00e9mico hasta el industrial.<\/p>\n","protected":false},"excerpt":{"rendered":"
    Devuelve la distribuci\u00f3n normal acumulativa<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[540],"tags":[],"class_list":["post-14109","post","type-post","status-publish","format-standard","hentry","category-estadistica"],"acf":[],"yoast_head":"\nFunci\u00f3n NORM.DIST (DISTR.NORM.N) en Excel \u2013 c\u00f3mo funciona, ejemplos y sintaxis<\/title>\n<meta name=\"description\" content=\"Explicaci\u00f3n breve de la funci\u00f3n NORM.DIST (DISTR.NORM.N) de Excel. 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