Binomial Mean and Variance

Problem

For a binomial random variable with n trials and success probability p, return the mean and variance as a two-element list.

mean = n * p and variance = n * p * (1 - p).

case 1

in: [10,0.5]

expected: [5,2.5]

case 2

in: [1,0.3]

expected: [0.3,0.21]

case 3

in: [0,0.9]

expected: [0,0]

case 4

in: [100,0.01]

expected: [1,0.99]

Starter codePython

def binomial_mean_variance(n, p):
    # Your code here
    pass

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