ANOVA Calculator
Perform one-way ANOVA: compute SSB, SSW, F statistic and p-value for group means comparison.
About ANOVA Calculator
One-way ANOVA tests whether the means of multiple groups differ significantly. It partitions total variance into between-group (SSB) and within-group (SSW) components and computes an F ratio. A small p-value suggests at least one group mean differs.
Formula
F Statistic
F = MSB / MSW = (SSB/dfB) / (SSW/dfW)
- MSB
- Mean square between
- MSW
- Mean square within
- dfB
- k − 1
- dfW
- N − k
Worked example
With the default values below, ANOVA Calculator returns F Statistic of 18.7500. Change any input above and every figure here is recalculated in your browser.
Inputs used
- Group 1 (comma separated)
- 23, 25, 27
- Group 2 (comma separated)
- 30, 32, 28
- Group 3 (comma separated)
- 35, 33, 37
Results
- F Statistic
- 18.7500
- P-value
- 0.002624
- SS Between (SSB)
- 150.0000
- SS Within (SSW)
- 24.0000
- df Between
- 2
- df Within
- 6
Step by step
- 1Values used
- 2F Statistic
- 3F Statistic= 18.7500
- 4P-value= 0.002624
- 5SS Between (SSB)= 150.0000
- 6SS Within (SSW)= 24.0000
- 7df Between= 2
- 8df Within= 6
Assumptions and limits
- The result is derived only from the 3 inputs listed above. Anything not among them is not part of the calculation.
- In particular, this calculator does not take inflation, tax, fees or charges or compounding frequency into account.
- Figures are rounded for display to 6 decimal places, so totals built from several rounded parts can differ slightly from the unrounded arithmetic.
How these calculators are built and tested is described on the Methodology page. If a figure looks wrong, please report it.
Frequently Asked Questions
What does a significant ANOVA tell you?
It tells you that at least one group mean differs from the others, but not which specific groups differ. Post-hoc tests (e.g., Tukey HSD) are needed for pairwise comparisons.
What assumptions does one-way ANOVA make?
Independence of observations, normality within groups, and approximately equal variances (homoscedasticity).
