Chi-Square Test Calculator

Test for independence and goodness of fit

Number of Rows

Number of Columns

Contingency Table Data (comma-separated values, one row per line)

Confidence Level (%)

Instructions

1.Select test type

2.Enter your data

3.Set confidence level

4.Click Perform Test

Independence: Test if two categorical variables are independent

Goodness of Fit: Test if data follows expected distribution

•p < 0.05: Reject null hypothesis (significant association)

•Cramer's V measures effect size (0 = no association, 1 = perfect)

•Expected frequencies should be ≥ 5 for valid results