A/B Testing Statistics: Why Statistics Matter in Experimentation
Convert
NOVEMBER 16, 2020
You run an A/B test and get different conversion rates for both, so there is a lift (positive or negative). false positives and false negatives. Meaning, the change you observed was due to chance but you concluded otherwise, so it’s a false positive. To ensure the reliability of the tests, Convert uses two-tailed Z-Tests.
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