幾何分佈的應用

時間 2020-01-11

標籤幾何分佈應用简体版

原文原文鏈接

P(燈泡在任意一天報廢)=0.001，則該燈泡至少能用30天的機率P(X>=30): spa

Y<-dgeom(30,0.001)
> X<-pgeom(30,0.001,lower.tail=FALSE)
> X+Y
[1] 0.970431 code

> Y<-dgeom(30,0.001)
> X<-pgeom(30,0.001,lower.tail=FALSE)
> X+Y
[1] 0.970431> Y<-dgeom(30,0.001)
> X<-pgeom(30,0.001,lower.tail=FALSE)
> X+Y
[1] 0.970431> Y<-dgeom(30,0.001)
> X<-pgeom(30,0.001,lower.tail=FALSE)
> X+Y
[1] 0.970431> Y<-dgeom(30,0.001)
> X<-pgeom(30,0.001,lower.tail=FALSE)
> X+Y
[1] 0.970431> Y<-dgeom(30,0.001)
> X<-pgeom(30,0.001,lower.tail=FALSE)
> X+Y
[1] 0.970431> Y<-dgeom(30,0.001)
> X<-pgeom(30,0.001,lower.tail=FALSE)
> X+Y
[1] 0.970431
class

 Y<-dgeom(30,0.001)

 Y<-dgeom(30,0.001)

 Y<-dgeom(30,0.001)

> Y<-dgeom(30,0.001) > X<-pgeom(30,0.001,lower.tail=FALSE) > X+Y [1] 0.970431

> Y<-dgeom(30,0.001) > X<-pgeom(30,0.001,lower.tail=FALSE) > X+Y [1] 0.970431

> Y<-dgeom(30,0.001) > X<-pgeom(30,0.001,lower.tail=FALSE) > X+Y [1] 0.970431

> Y<-dgeom(30,0.001) > X<-pgeom(30,0.001,lower.tail=FALSE) > X+Y [1] 0.970431

> Y<-dgeom(30,0.001) > X<-pgeom(30,0.001,lower.tail=FALSE) > X+Y [1] 0.970431

> Y<-dgeom(30,0.001) > X<-pgeom(30,0.001,lower.tail=FALSE) > X+Y [1] 0.970431> Y<-dgeom(30,0.001) > X<-pgeom(30,0.001,lower.tail=FALSE) > X+Y [1] 0.970431

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