Bonferroni Threshold

Problem

Return the Bonferroni-corrected significance threshold alpha/m for m tests. Return 0.0 when m <= 0.

Hint

Divide the family-wise level by the number of tests.

case 1

in: [0.05,10]

expected: 0.005

case 2

in: [0.01,5]

expected: 0.002

case 3

in: [0.05,1]

expected: 0.05

case 4

in: [0.05,0]

expected: 0

case 5

in: [0.1,4]

expected: 0.025

Starter codePython

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

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