Chi-Square Test Calculator

Perform chi-square tests for independence and goodness of fit. Analyze categorical data relationships and compare observed vs expected frequencies.

Input data

Chi-square test results

Test statistic (χ²):

3.3333

P-value:

0.3430

Degrees of freedom:

Interpretation:

There is not enough evidence to reject the null hypothesis (p ≥ 0.05)

Chi-square distribution

Frequency comparison

Category	Observed	Expected	Difference
Category 1	10	15.00	-5.00
Category 2	15	15.00	0.00
Category 3	20	15.00	5.00
Category 4	15	15.00	0.00

Parameters

Observed frequencies*

Selected: Observed

Expected frequencies*

Selected: Expected

Chi-square test results

Test statistic (χ²):

3.3333

P-value:

0.3430

Degrees of freedom:

Interpretation:

There is not enough evidence to reject the null hypothesis (p ≥ 0.05)

Chi-square distribution

Frequency comparison

Category	Observed	Expected	Difference
Category 1	10	15.00	-5.00
Category 2	15	15.00	0.00
Category 3	20	15.00	5.00
Category 4	15	15.00	0.00

How to Use the Chi-Square Test Calculator

Enter observed frequencies for each category
Input expected frequencies (or let us calculate them)
Select significance level
View test results and interpretation
Analyze statistical significance

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by @scottpaulin