distribusi peluang continu

#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=500)

## [1] 0.0007939051

#untuk P(X=15)
#distribusi eksponensial
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