P23StatisticsAdvancedInterpret18 min
Evaluate an A/B Test Beyond Statistical Significance
Decide whether a statistically significant conversion lift is worth shipping.
#ab-testing#effect-size#power#business-impact
Scenario
A checkout experiment raises conversion from 4.00% to 4.08% with p = 0.01 across two million sessions, but the redesign adds support cost.
Problem statement
Explain why p-value alone is insufficient and outline the decision framework.
Your Task
- Estimate practical effect size.
- Consider confidence intervals and guardrail metrics.
- Compare expected incremental value against implementation and support cost.
Related Concepts
Effect sizePowerGuardrail metrics
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