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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 medium

Chi-Square Test in Python for Conversion Mock Data

Compute the chi-square statistic and approximate p-value for a mock A/B conversion test using the standard library.

chi-square statistics ab-testing
Python 
import math
from collections import Counter

def chi_square_statistic(observed):
    """
    Compute chi-square statistic for a mock conversion test.
    observed: dict mapping outcomes to observed frequencies.
    """
    observed = Counter(observed)
    n = sum(observed.values())
    expected = n / len(observed) if …
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