s10-normal-distribution-1.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 1 / 2 * (1 + erf((x - m) / (sd * Math.sqrt(2))))
  }

  input = input.split('\n')
  input[0] = input[0].split(' ')
  input[2] = input[2].split(' ')

  let m = parseFloat(input[0][0]),
    sd = parseFloat(input[0][1]),
    a = parseFloat(input[1]),
    b1 = parseFloat(input[2][0]),
    b2 = parseFloat(input[2][1])

  console.log(cumulativeDistribution(m, sd, a).toFixed(3))
  console.log((cumulativeDistribution(m, sd, b2) - cumulativeDistribution(m, sd, b1)).toFixed(3))
}

processData(`20 2
19.5
20 22`)