AllMyCalculators

One-Way ANOVA Calculator

Tests whether three or more group means differ by more than chance variation would explain.

Separate with commas or spaces, up to 1,000 values. Use a point for decimals and no thousands separators.

Blank groups are ignored. Up to 1,000 values in each, with no thousands separators.

Blank groups are ignored. Up to 1,000 values in each, with no thousands separators.

Blank groups are ignored. Up to 1,000 values in each, with no thousands separators.

Blank groups are ignored. Up to 1,000 values in each, with no thousands separators.

Blank groups are ignored. Up to 1,000 values in each, with no thousands separators.

p-value
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Share sends a link that reopens these numbers. Copy details pastes the full breakdown as a list.

Values read in each list —
F statistic —
Eta squared —
ANOVA table
Reading this —

The formula

F = (SS between ÷ (k − 1)) ÷ (SS within ÷ (N − k))

F compares the variation between group means with the variation inside the groups. Eta squared is the share of the total variation that lies between groups.

What to watch out for

With exactly two groups, the F statistic is the square of the pooled t statistic and the p-values match. After a significant result, a post-hoc test such as Tukey’s shows which groups differ.

Frequently Asked Questions

What is the critical F value for 2 and 15 degrees of freedom at 5%?

3.682.

Why not run several t-tests?

Each test carries its own risk of a false positive, so the overall risk grows with the number of tests. ANOVA tests all the groups at once.

What is a worked example?

The three groups filled in above give F = 9.2647, with 2 and 15 degrees of freedom.