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Estadistica II Distribucion Poisson Ricardo Morales A01380873 Carlos Perales A01382435 Mario Garcia A01381471

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Distribucion Poisson Se emplea para calcular probabilidades asociadas a una variable aleatoria (discreta) dentro de un intervalo de tiempo.
Ejemplos: 1) La producción de televisores en una conocida empresa trae asociada una probabilidad de defecto del 2%, si se toma un lote o muestra de 85 televisores , obtener la probabilidad de que existan: 4 televisores con defectos. Menos de 3 televisores con defectos. Mas de 5 televisores con defectos.

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4 televisores con defectos. n = 85 P = 0.02 x =4
Menos de 3 televisores con defectos. n = 85 P = 0.02 x =0,1,2

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Mas de 5 televisores con defectos. n = 85 P = 0.02 x =
Ejemplos: 2) En una jaula con 100 pericos 15 de ellos hablan ruso, calcular la probabilidad de que si tomamos 25

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• Spring '16
• raul lopez

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