| Group | Count | Mean | Std. Dev. |
|---|
| Source of Variation | SS | df | MS | F | P-value | F critical |
|---|---|---|---|---|---|---|
| Between Groups | - | - | - | - | - | - |
| Within Groups | - | - | - | |||
| Total | - | - | ||||
ANOVA (Analysis of Variance) is a statistical method used to test differences between two or more means. It compares the amount of variation between groups with the amount of variation within groups.
If the p-value is less than your chosen significance level (α), you can reject the null hypothesis and conclude that there are statistically significant differences between at least two group means.
While t-tests compare exactly two groups, ANOVA can compare three or more groups simultaneously, controlling the Type I error rate.
This calculator provides results comparable to Excel's Data Analysis ToolPak ANOVA function, making it perfect for verifying Excel calculations or performing quick analyses without spreadsheet software.