Sequential Test Threshold

Problem

Decide whether a p-value passes a Bonferroni-style sequential test after a given number of looks: p_value < alpha / looks.

Return False when looks <= 0.

Hint

Each additional peek at the data tightens the significance threshold.

case 1

in: [0.01,0.05,3]

expected: true

case 2

in: [0.02,0.05,3]

expected: false

case 3

in: [0.001,0.05,1]

expected: true

case 4

in: [0.05,0.05,1]

expected: false

Starter codePython

def passes_sequential_test(p_value, alpha, looks):
    # Your code here
    pass

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