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Or you got unlucky. There even exist procedures to rerandomize if pre-test metrics are lopsided. You retain the benefits of randomization and it can help a lit
by tedsanders 5y ago
Or you got unlucky.
There even exist procedures to rerandomize if pre-test metrics are lopsided. You retain the benefits of randomization and it can help a little when your signal is the same magnitude as your sampling noise.
- robocat 5y agoSurely getting “unlucky” is a sign of significant variance, which would mean your A/B test needs to be extra robust to detect signal. Presumably, a high standard deviation of multiple randomised pre-groupings could show that your A/B testing is likely to be problematic.