Chi-Square Calculator

Math Calculators

Calculate the chi-square statistic for goodness of fit.

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Chi-Square (χ²)

About This Tool

Test the relationship between observed and expected frequencies. Ideal for genetic studies, market research, and categorical data analysis.

Frequently Asked Questions

A Chi-Square test is a statistical method used to determine if there is a significant difference between expected frequencies and observed frequencies in one or more categories.

The formula is $\chi^2 = \sum \frac{(O - E)^2}{E}$, where $O$ is the observed frequency and $E$ is the expected frequency for each category.

A result is significant if the calculated Chi-Square value exceeds the critical value from a Chi-Square distribution table based on your desired alpha level and degrees of freedom.

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