MediumProbabilitypr-033

Poisson CDF

Problem

Poisson cumulative distribution function P(X <= k) with rate lam.

Sum lam^i * e^(-lam) / i! for i from 0 to k. Return 0.0 if lam < 0 or k < 0.

case 1

in: [2,0]

expected: 0.1353352832366127

case 2

in: [2,2]

expected: 0.6766764161830635

case 3

in: [3,10]

expected: 0.9997076630493528

case 4

in: [1,-1]

expected: 0

case 5

in: [0,0]

expected: 1

Starter codePython

import math


def poisson_cdf(lam, k):
    # Your code here
    pass

5 test cases · run your code against them in the editor