ABCalc

Calculate A/B test statistical significance with proper sequential testing corrections

Data & AnalyticsFree

ABCalc provides rigorous statistical analysis for A/B tests including proper sequential testing corrections for continuous monitoring, sample size calculations for test planning, segmented analysis for heterogeneous treatment effects, and revenue metric analysis that handles the skewed distributions common in e-commerce data. The tool warns against common statistical mistakes including peeking without correction, stopping tests at first significance, and ignoring multiple comparison problems. Growth teams use it to make statistically valid decisions while data scientists use it to audit test conclusions from less rigorous tools.

Key Features

• ✓Sequential testing correction
• ✓Sample size calculator
• ✓Segment analysis
• ✓Revenue metric handling
• ✓Statistical mistake warnings