Bonferroni Adjusted Alpha

Problem

The Bonferroni correction divides the family-wise alpha by the number of tests m.

Given alpha and m > 0, return the adjusted per-test alpha.

Hint

It controls the family-wise error rate conservatively.

case 1

in: [0.05,10]

expected: 0.005

case 2

in: [0.01,5]

expected: 0.002

case 3

in: [0.1,1]

expected: 0.1

Starter codePython

def bonferroni_adjusted_alpha(alpha, m):
    # Your code here
    pass

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