We use cookies to ensure you have the best browsing experience on our website. Please read our cookie policy for more information about how we use cookies.
  1. Prepare
  2. Tutorials
  3. 10 Days of Statistics
  4. Day 5: Poisson Distribution I
  5. Discussions

Day 5: Poisson Distribution I

Sort by

recency

|

104 Discussions

|

  • c_todopob
     + 0 comments

    meanX = float(input()) value = int(input())

    p = ((meanX**value)math.e*(-meanX))/factorial(value)

    print("{:.3f}".format(p))

  • oksana_vityuk
     + 0 comments
    import math

mean = 2.5
k = 5

p = pow(mean, k) * pow(math.e, -mean) / math.factorial(k)

print(round(p, 3))

  • [deleted]     + 0 comments

    Python Code :

    from math import factorial, exp

miu = float(input())
x = int(input())
poisson_prob = ((miu ** x) * exp(-miu)) / factorial(x)
print("%.3f" %poisson_prob)

  • lucasopoka
     + 0 comments
    from math import factorial as fc
e, l, k = 2.71828, 2.5, 5
print(f'{(l**k * e**-l) / fc(k):.3f}')

  • shashinp1996
     + 0 comments

    JS

      function factorial(n){
        if(n < 0){
            return -1;
        }
        if(n == 0 || n == 1){
            return 1;
        }else{
            return n * factorial(n-1);
        }
    }
    let value = input.split(/[\n]/g);
    let x = parseFloat(value[0]);
    let y = parseFloat(value[1]);
    let ans = (Math.pow(x,y) * Math.exp(-x))/factorial(y);
    console.log(ans.toFixed(3));