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  1. Prepare
  2. Tutorials
  3. 10 Days of Statistics
  4. Day 5: Poisson Distribution I
  5. Discussions

Day 5: Poisson Distribution I

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105 Discussions

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  • illogicalsleepi1
     + 0 comments
    import math

lambd = float(input())
k = int(input())

poisson_prob = ((lambd ** k) * math.exp(-lambd)) / math.factorial(k)

print(round(poisson_prob,3))

  • 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}')