Test whether two categorical variables are related (independence) or whether observed counts match expected proportions (goodness of fit).
Example above is a 2×2 table: rows are groups, columns are outcome categories. Up to 10×10 supported.
Crosstabs from a real dataset? ReliCheck Quanta builds contingency tables from raw data, checks expected cell counts, and produces APA tables automatically. Free to try on your Mac. No Mac? Try the Quantitative Studio on the web.
Get QuantaTest of independence: two categorical variables, one sample. Example: is program completion (yes/no) related to enrollment status (full time/part time)? Enter the cross-tabulated counts.
Goodness of fit: one categorical variable compared against expected proportions. Example: do students choose the four majors equally often? Enter observed counts and, if the expectation is not equal shares, the expected proportions.
For tests of independence the calculator reports Cramer's V (phi for 2×2 tables). Values around .10 are small, .30 medium, and .50 large for df* = 1, with thresholds shrinking as tables grow.