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A/B testing & experimentation

User bucketing, experiment metrics, statistical comparison, and rollout guardrails.

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A/B testing & experimentation easy

Bonferroni Correction in Python

Applies the Bonferroni correction to a list of p-values to control the family-wise error rate when performing multiple comparisons.

statistics p-values multiple-comparisons
Python 
import numpy as np

def bonferroni_correction(p_values, alpha=0.05):
    """Apply Bonferroni correction to a list of p-values."""
    n = len(p_values)
    corrected_alpha = alpha / n
    significant = [p < corrected_alpha for p in p_values]
    return corrected_alpha, significant

if __name__ == "__main__":
    # Moc…
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