Two-way ANOVA calculator
Enter the response and factor A and B level codes for every row. The design needs at least two observations in every cell.
Design cells
| A level | B level | Replicates | Cell mean |
|---|---|---|---|
| Fill in the fields above — the result is computed on this page. | |||
How do I use this page?
- Paste responses and both level-code series.
- Check that the cell layout is complete and balanced.
- Read the interaction test and A and B effects.
What this page does not do: The model assumes independent observations, normal residuals and similar variances. Missing cells and unbalanced designs are not supported.
Further reading
Theory — what is two-way ANOVA?
Two-way ANOVA splits the variation of a response into the effect of factor A, the effect of factor B, their interaction, and random error. The calculator needs the response value plus level codes for both factors in every row, and the design must be full and balanced with at least two observations per cell. A significant interaction means the effect of one factor changes depending on the level of the other, which complicates a simple reading of the main effects.
Frequently asked questions
What does a significant interaction mean?
Must codes start at 1?
See also
A/B test calculator
Compare two proportions in an A/B test. Calculate conversion rates, difference, uplift, z score, p value and c
A/B test planning — sample size, MDE and duration
Plan a two-proportion experiment, estimate detectable effect and traffic duration.
ACF and PACF autocorrelation calculator
Calculate ACF and PACF across time-series lags. Review the chart, reference bounds and coefficient table.