A/B Test Calculator Tool
🚀 Advanced A/B Test Calculator Pro
Professional statistical analysis with real-time calculations, Bayesian probability, export capabilities, and comprehensive reporting.
⚙️ Test Configuration
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This professional-grade calculator combines frequentist and Bayesian analysis with real-time calculations, comprehensive reporting, and business impact assessment for data-driven decision making.
🧠 Bayesian vs Frequentist Analysis
- Frequentist: Traditional p-values and confidence intervals based on hypothesis testing
- Bayesian: Probability that one variant beats another, incorporating prior beliefs
- Effect Size: Cohen's h for practical significance beyond statistical significance
- Power Analysis: Determine if your sample size is adequate for reliable conclusions
💰 Business Impact Assessment
- Revenue Analysis: Calculate revenue per visitor and projected annual impact
- Cost-Benefit Analysis: ROI calculations with implementation and maintenance costs
- Duration Planning: Estimate test duration based on traffic patterns
- Risk Assessment: Expected loss calculations for decision making
⚡ Real-time & Advanced Features
- Live Calculations: Results update automatically as you type
- Export Capabilities: Download results in CSV, JSON, or PDF format
- Test History: Save and compare multiple tests
- Assumption Checking: Automatic validation of statistical requirements
Advanced A/B Testing FAQ
Q. When should I use Bayesian vs Frequentist analysis?
Use Bayesian when you have prior knowledge about expected conversion rates or need probability statements. Frequentist is standard for regulatory compliance and academic research.
Q. What does "Probability B > A" mean in Bayesian analysis?
This is the probability that variant B truly performs better than A, given the observed data. Values above 95% indicate strong evidence for B being superior.
Q. How accurate are the revenue projections?
Projections assume consistent traffic and conversion patterns. Consider seasonality, external factors, and market changes when making business decisions.
Q. What is expected loss and how should I use it?
Expected loss represents the potential revenue you might lose by choosing the wrong variant. Lower values indicate safer decisions.
Q. When is my sample size adequate?
Aim for 80%+ statistical power with your minimum detectable effect. The calculator will warn you if sample sizes are insufficient for reliable conclusions.
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