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
#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
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