pertemuaan ke 4 prak komstat

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(4,0.16)

## [1] 0.08436679

#untuk p(X<=4)
cdfexp <- function(x, lambda = 0.16){
  pdf <- function(t){
    lambda * exp(-lambda * t)
    
  }
  hasil <- integrate(pdf, lower = 0,upper = x)
  return(hasil$value)
}
cdfexp(4,0.16)

## [1] 0.4727076

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

## [1] 0.125

dunif(6,min=2,max=10)

## [1] 0.125