ANOVA Calculator

One-way ANOVA across any number of groups with F, p, and eta-squared.

FreeNo accountOn your device

Runs in your browser. How to verify

Loading tool…

About this tool

Enter groups separated by semicolons with values separated by commas. The one-way ANOVA reports F, degrees of freedom, p, eta squared, group means and the grand mean.

How to use

1
Step 1
Type each group's values separated by commas.
2
Step 2
Separate groups with semicolons, e.g. 4,5,6;7,8,9.
3
Step 3
Press Calculate.

How it works

ANOVA compares the variation between group means with the variation within groups. A large F means the means differ more than chance within-group scatter would suggest. It tells you that at least one group differs, not which; follow up with a post-hoc test. Eta squared is the share of variance explained by group.

F = MS_between ÷ MS_within      η² = SS_between ÷ SS_total

Worked example

Two groups, hand-checkable

Input
4,5,6;7,8,9
Output
F(1, 4) = 13.50, p = .021, η² = .77
Walkthrough
Means 5 and 8, grand mean 6.5. SS_between = 3 × 1.5² × 2 = 13.5; SS_within = 2 + 2 = 4, so MS_within = 1 and F = 13.5. η² = 13.5 ÷ 17.5 =.77.

Limitations

  • One-way (one factor) only.
  • Assumes equal variances and roughly normal groups; it does not run post-hoc comparisons.

Questions

What do the two df in F(2, 12) mean?
Between-groups df is k − 1 = 2; within-groups df is N − k = 12.
What F do three groups of five scores give?
For the sample data 85,90,78,92,88; 88,76,95,89,91; 79,85,90,84,82, F(2, 12) = 0.58, p =.573.
Does a significant ANOVA tell me which group differs?
No. It only says not all means are equal; use a post-hoc test such as Tukey's.

Features

  • Means and eta squared
  • Any number of groups
  • Runs in your browser

Related resources

Guides and videos from around the web—opens on YouTube or the publisher’s site.

  • Finding mean, median, and mode

    Khan Academy

    Baseline summary stats for coursework checkoffs.

    Watch on YouTube
  • Hypothesis testing and p-values

    StatQuest with Josh Starmer

    Intuition for t/z/χ² decision rules.

    Watch on YouTube