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