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Both calculators run independently — change the inputs on either side to compare results.

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.

Observed Frequency

Expected Frequency

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Statistics

One-Way ANOVA Calculator

Compute the F-statistic for a one-way ANOVA from the treatment and error sums of squares and their degrees of freedom. The standard test for comparing the means of three or more groups simultaneously — used in experimental design, A/B/C testing, and any multi-group comparison.

Treatment Sum of Squares

Error Sum of Squares

Treatment Degrees of Freedom

Error Degrees of Freedom

Fill in the required fields to see your result.

Key differences

	Chi-Square Test Calculator	One-Way ANOVA Calculator
Category	Statistics	Statistics
Inputs required	2	4
Result	Chi-Square Value	F-Statistic
What it does	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.	Compute the F-statistic for a one-way ANOVA from the treatment and error sums of squares and their degrees of freedom. The standard test for comparing the means of three or more groups simultaneously — used in experimental design, A/B/C testing, and any multi-group comparison.