s10-the-central-limit-theorem-2.js

function processData(input) {
  //Enter your code here
  function erf(x) {
    let a1 = 0.254829592,
      a2 = -0.284496736,
      a3 = 1.421413741,
      a4 = -1.453152027,
      a5 = 1.061405429,
      p = 0.3275911

    let sign = 1

    if (x < 0)
      sign = -1

    x = Math.abs(x)

    // A&S formula 7.1.26
    let t = 1.0 / (1.0 + p * x)
    let y = 1.0 - (((((a5 * t + a4) * t) + a3) * t + a2) * t + a1) * t * Math.exp(-x * x)

    return sign * y
  }

  function cumulativeDistribution(m, sd, x) {
    return .5 * (1 + erf((x - m) / (sd * Math.sqrt(2))))
  }

  input = input.split('\n')
  let mx = parseFloat(input[0]),
    n = parseFloat(input[1]),
    m = parseFloat(input[2]),
    s = parseFloat(input[3]),
    sm = n * m,
    ss = Math.sqrt(n) * s

  console.log(cumulativeDistribution(sm, ss, mx).toFixed(4))
}

processData(`250
100
2.4
2.0`)