Markov Bound

Problem

Markov's inequality upper bound on P(X >= a) for a nonnegative random variable with the given mean:

P(X >= a) <= min(1, mean / a).

Return 1.0 when a <= 0.

Hint

The bound is only useful when it is below 1.

case 1

in: [2,4]

expected: 0.5

case 2

in: [1,1]

expected: 1

case 3

in: [3,1]

expected: 1

case 4

in: [0,5]

expected: 0

Starter codePython

def markov_bound(mean, a):
    # Your code here
    pass

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