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Chi-Square Test Calculator

Compute the chi-square statistic to test whether observed frequencies differ significantly from expected ones, or whether two categorical variables are independent. Use it for analyzing survey responses, genetic ratios, market research, and contingency tables.

Observed Values (comma separated)

Expected Values (comma separated)

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.

Observed Frequency

Expected Frequency

Fill in the required fields to see your result.

Key differences

	Chi-Square Test Calculator	Chi-Square Test Calculator
Category	Statistics	Statistics
Inputs required	2	2
Result	Chi-Square Statistic	Chi-Square Value
What it does	Compute the chi-square statistic to test whether observed frequencies differ significantly from expected ones, or whether two categorical variables are independent. Use it for analyzing survey responses, genetic ratios, market research, and contingency tables.	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.