PosttestKomstat_PerlitaIllona

#DISTRIBUSI NORMAL#
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

#Untuk P(X=4)
eks<-function(x,lambda){lambda*exp((-1)*lambda*x)}
eks(4,0.167)

## [1] 0.08562641

#Untuk P(X<=14)
cdfexp<-function(x, lambda=0.167) {
  pdf<- function(t){
    lambda*exp(-lambda*t)
  }
hasil <-integrate(pdf, lower=0, upper=x)
return(hasil$value)
}
cdfexp(4,0.167)

## [1] 0.487267

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

## [1] 0.125

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

## [1] 0.05