Prak Komstat Pert 4

#Peluang Distribusi Normal
norm<-function(x,miu,sigma)(1/(sigma*sqrt(2*pi))*exp(-1/2*((x-miu)/sigma)^2))
norm(750,800,50)

## [1] 0.004839414

dnorm(750,mean=800,sd=50)

## [1] 0.004839414

#Ditribusi Eksponensial
#Untuk P(X=15)
eks<-function(x,lambda)(lambda*exp((-1)*lambda*x))
eks(15,0.05)

## [1] 0.02361833

#Untuk P(X<=15)
cdfexp<-function(x,lambda=0.05){
  pdf<-function(t){
    lambda*exp(-lambda*t)
  }
  hasil<-integrate(pdf,lower=0,upper=x)
  return(hasil$value)
}
cdfexp(15,0.05)

## [1] 0.5276334

#Distribusi Uniform
uniform<-function(x,a=0,b=1)(1/(b-a))
uniform(20, a=10,b=30)

## [1] 0.05

dunif(20,min=10,max=30)

## [1] 0.05