#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
#Distribusi Eksponensial
#Untuk P(X=6)
eks<-function(x,lambda){lambda*exp((-1)*lambda*x)}
eks(6,0.25)
## [1] 0.05578254
#Untuk P(X<6)
cdfexp <- function(x, lambda = 0.25) {
  pdf <- function(t) {
    lambda * exp(-lambda * t)
  }
  hasil<- integrate(pdf, lower = 0, upper = x)
  return(hasil$value)
}
cdfexp(6,0.25)
## [1] 0.7768698
#Distribusi Uniform
uniform<-function(x,a=2,b=10){1/(b-a)}
uniform(6,a=2,b=10)
## [1] 0.125
dunif(6,min=2,max=10)
## [1] 0.125