Chi Square Test Calculator

• Enter the displayed example values,or choose the local input files requested by the controls. Optional source files take precedence where labelled.
• Choose Calculate result and inspect the complete result and any reported limitations.
• Use Download result and each companion download link to save complete outputs. Reset clears output and restores example controls.

Test model: goodness
Goodness: observed counts: [10,20,30]
Goodness: expected weights: [1,1,1]
Goodness: estimated parameters: 0
Contingency: rows of observed counts: [[12,8],[7,13]]
Contingency correction: none

• Compute goodness of fit from whole observed counts and positive expected weights,or a rectangular contingency independence test. Report every expected count,Pearson residual,contribution,df and asymptotic p-value. Expected weights are normalized to the observed total. Enter the number of estimated parameters for goodness of fit. Optional clipped Yates correction is limited to2 by2 tables. Sparse expected counts are reported as assumption warnings. No exact test or causal inference. Contingency tables:2–100 rows/columns with positive marginal totals; counts0–1e12. Download the complete JSON report. All processing stays in your browser. Combined input limit: 400,000 UTF-8 bytes, 100,000 characters per field; report limit: 4 MiB. Floating-point rounding and probability underflow can occur.
• Complete outputs only. Unsupported or oversized input is refused. Follow the displayed job-specific bounds and format policies.