Sample Size & Power Calculator

I need to run an experiment to detect a {{effect_description}} change in {{metric_name}}.

Requirements:
- Baseline metric value: {{baseline_value}}
- Minimum detectable effect (MDE): {{mde_value}} ({{mde_type}}: absolute/relative)
- Statistical power: {{power_level}}% (probability of detecting true effect)
- Significance level: {{significance_level}} (false positive rate)
- Test type: {{test_type}} (two-sided/one-sided)
- Allocation: {{allocation}} (equal/weighted)

Calculate:
1. Sample size per group
2. Total samples needed
3. Runtime estimate (based on {{traffic_metric}} {{traffic_volume}} per day)
4. Power curve (how sensitivity changes with sample size)
5. Sensitivity analysis (effect of changing MDE or power)