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Bernoulli Fisher Information
Problem
Return the Fisher information of n Bernoulli trials with success probability p:
I(p) = n / (p * (1 - p))
Hint
Information is smallest when the coin is fair, since p(1-p) is largest there.
Test cases
case 1
in: [0.5,1]
expected: 4
case 2
in: [0.5,10]
expected: 40
case 3
in: [0.25,1]
expected: 5.333333333333333
case 4
in: [0.1,5]
expected: 55.55555555555555
Starter codePython
def bernoulli_fisher_information(p, n):
# Your code here
pass4 test cases · run your code against them in the editor