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Both calculators run independently — change the inputs on either side to compare results.
Statistics
ANOVA F-Test Calculator
Compute the F-statistic for a one-way ANOVA test by entering sums of squares and degrees of freedom. Use it when comparing means across three or more groups to test whether at least one differs significantly.
Fill in the required fields to see your result.
Statistics
Chi-Square Test Calculator
Compute the chi-square test statistic contribution for one observed-vs-expected category pair using χ² = (observed − expected)² / expected. Sum these contributions across all categories to get the total χ² statistic for goodness-of-fit or independence tests.
Fill in the required fields to see your result.
Key differences
| ANOVA F-Test Calculator | Chi-Square Test Calculator | |
|---|---|---|
| Category | Statistics | Statistics |
| Inputs required | 4 | 2 |
| Result | F-Statistic | Chi-Square Value |
| What it does | Compute the F-statistic for a one-way ANOVA test by entering sums of squares and degrees of freedom. Use it when comparing means across three or more groups to test whether at least one differs significantly. | Compute the chi-square test statistic contribution for one observed-vs-expected category pair using χ² = (observed − expected)² / expected. Sum these contributions across all categories to get the total χ² statistic for goodness-of-fit or independence tests. |