Bonferroni Count

Problem

Count how many p-values are significant after Bonferroni correction: p_i <= alpha / m, where m is the number of hypotheses.

Empty input returns 0.

Hint

Divide alpha by the number of tests before comparing.

case 1

in: [[0.001,0.01,0.04],0.05]

expected: 2

case 2

in: [[0.02,0.03],0.05]

expected: 1

case 3

in: [[0.5],0.5]

expected: 1

case 4

in: [[],0.05]

expected: 0

Starter codePython

def bonferroni_count(p_values, alpha):
    # Your code here
    pass

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