Two-Factor Factorial ANOVA — Interactive Designer

📘 Example: No Interaction (Additive Model)

🔬 Interpretation: Factors act independently. The effect of Therapy is constant across all Dosage levels. Profiles are parallel — no significant interaction.

⚡ Example: Strong Interaction (Crossing Profiles)

🔬 Interpretation: The effect of Water depends on Fertilizer level. At low fertilizer, extra water reduces yield; at high fertilizer, extra water increases yield — significant interaction.

✏️ Setup Your Own Factorial Design

FACTOR A NAME

FACTOR B NAME

REPLICATES (n)

LEVELS OF A (click to edit)

LEVELS OF B (click to edit)

📊 Two-Factor Factorial ANOVA

📘 Example: No Interaction (Additive Model)

⚡ Example: Strong Interaction (Crossing Profiles)

✏️ Setup Your Own Factorial Design

📈 Analysis Results

📊 Cell & Marginal Means

🔍 Confidence Intervals & Effect Sizes