Plan and generate factorial experiment designs with multiple factors and levels. Create full factorial, fractional factorial, or custom designs with proper randomization and replication.
2 levels: Low, High
2 levels: Low, High
For assessing curvature in response surface designs
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StatsCalculators Team. (2026). Factorial Design Planner. StatsCalculators. Retrieved September 17, 2026 from https://statscalculators.com/calculators/experimental-design/factorial-design-planner
A factorial design is an experimental setup that allows you to study the effects of multiple factors simultaneously. Each factor is tested at different levels, and all possible combinations of factor levels are included in the experiment.
Tests all possible combinations of factor levels.
Example: 3 factors with 2 levels each = 2³ = 8 runs
Tests a carefully selected subset of combinations.
Example: 5 factors, half fraction = 2^(5-1) = 16 runs
Consider testing the effect of Temperature (A), Pressure (B), and Catalyst (C) on yield:
Total runs: 2³ = 8 treatment combinations
You can estimate:
