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SigmaCalc
Test whether 3+ group means differ significantly, without running pairwise t-tests that inflate your error rate.
Running a t-test for every pair of groups multiplies your chance of a false positive with each additional comparison. ANOVA tests all groups at once with a single F-statistic, controlling that error rate properly.
A significant F-statistic tells you at least one group mean differs from the others — it doesn't say which pair. Follow up with a post-hoc test (like Tukey's HSD) to pinpoint exactly which groups differ.
What you entered
Sum of squares between groups
Σ nᵢ(x̄ᵢ − x̄grand)²= 253.1667Sum of squares within groups
Σ Σ (xᵢⱼ − x̄ᵢ)²= 33.75Mean square between
253.1667 ÷ 2 df= 126.5833Mean square within
33.75 ÷ 9 df= 3.75F-statistic
126.5833 ÷ 3.75= 33.7556Result
F-statistic: 33.756
An F-statistic of 33.756 with (2, 9) degrees of freedom — compare it against an F-distribution critical value for your chosen significance level to decide whether the group means differ significantly.