POST TEST PRAK.KOMSTAT

#Distribus normal (PDF)  ada nilai rata",standar deviasi 
norm<- function(x,miu,sigma){1/(sigma*sqrt(2*pi))*exp(-1/2*((x-miu)/sigma)^2)}
norm(4,5,1)

## [1] 0.2419707

dnorm(4,mean=5,sd=1) 

## [1] 0.2419707

#distribusi eksponial#waktu tunggu
#Untuk P(X=4)
eks<-function(x,lamda){lamda*exp((-1)*lamda*x)}
eks(4, 0.1667)

## [1] 0.08557522

#untuk p(X<=4)
cdfexp<-function (x,lamda=0.1667){
  pdf<-function (t){
    lamda*exp(-lamda*t)
  }
  hasil<-integrate(pdf,lower=0,upper=x)
  return(hasil$value)
}
cdfexp(4,0.1667)

## [1] 0.4866513

#Distribus Uniform
uniform<-function(x,a=0,b=1){1/(b-a)} 
uniform(6,a=2,b=10)

## [1] 0.125

dunif(6,min=2,max=10)

## [1] 0.125