ANOVA Calculator
Analyze variance to compare means across multiple groups. Understand statistical differences with ease.
ANOVA Inputs
Enter your sample datasets and significance level to perform ANOVA.
α
Typically 0.05
Results
F-statistic:
P-value:
F-Distribution Visualization
Understanding ANOVA
ANOVA, or Analysis of Variance, is a statistical method used to test if there are significant differences between the means of two or more independent groups. It checks the variability within each group against the variability between groups. A significant ANOVA result suggests that at least one group mean is different from the others, but further tests are needed to identify which groups differ. The F-statistic and P-value are key outputs, with the P-value indicating the probability of observing the results if there were no real group differences.
- F-statistic: Ratio of between-group variance to within-group variance.
- P-value: Probability that the observed results occurred by chance alone.
- Significance Level (α): Threshold to reject the null hypothesis (typically 0.05).