A/B Test Analyzer processes experiment data to determine if results are statistically significant using frequentist and Bayesian methods. It calculates confidence intervals, effect sizes, and expected revenue impact. Supports multi-variant tests, segmented analysis, and sequential testing with early stopping rules.
Triggers
analyze this A/B testcheck experiment resultsis this test significantTools
Parameters
data_source-Path to experiment data CSV or API endpointmethod-Statistical method: frequentist | bayesianconfidence_level-Required confidence: 0.90 | 0.95 | 0.99Industry
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