A/B Test Sample Size Calculator Guide

Calculate sample size for {{test_name}}:

Test parameters:
- Metric: {{metric_name}} (current {{baseline_value}})
- Minimum detectable effect: {{mde_pct}}% (absolute {{mde_absolute}})
- Statistical power: {{power}}% (1 - Type II error)
- Significance level (alpha): {{alpha}}% (Type I error)
- Traffic split: {{test_split}} (e.g., 50/50)
- Daily users available: {{daily_users}}

Calculate:
1. Required per-group sample size
2. Total runtime in days
3. Power curve (range of detectable effects)
4. Trade-offs if {{daily_users}} is limiting
5. Sensitivity to variance assumptions (show range)

Provide a table of scenarios.