χ² Chi-Square Test Calculator

Calculate a chi-square goodness-of-fit statistic from observed and expected category counts.

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Formula and Explanation

Calculate a chi-square goodness-of-fit statistic from observed and expected category counts.

ConceptFormula or rule
Chi-Square Test Calculatorχ² = Σ(O−E)²/E

How to Use This Calculator

  1. Enter the sample, counts, probabilities, or summary statistics requested above.
  2. Keep paired lists in the same order and separate values with commas.
  3. Select the correct test direction or sample/population option when available.
  4. Press Calculate and interpret the result together with the supporting statistics.

Worked Example

Example: Compare observed counts 24,36,40 with equal expected counts.
✓ df = categories − 1 − estimated constraints

Where This Is Used

School & coursework
Check homework, understand formulas, and verify step-by-step statistics exercises.
Research
Explore estimates, uncertainty, distributions, and relationships before using full statistical software.
Business & data analysis
Summarize variation, compare groups, and communicate data-driven findings clearly.

Common Mistakes to Avoid

⚠️
Using percentages instead of counts
The standard test uses frequency counts.
⚠️
Allowing very small expected counts
Sparse categories can make the approximation unreliable.
⚠️
Ignoring how expected values were estimated
Estimated parameters reduce degrees of freedom.

Practice Questions

1. With 4 categories and no estimated parameters, what is df?
Answer: 3
2. If observed equals expected exactly, what is χ²?
Answer: 0
3. Must expected counts sum to observed counts?
Answer: Usually yes for goodness-of-fit.

Frequently Asked Questions

What is the null hypothesis?▾
Observed frequencies follow the expected distribution.
Can expected counts be zero?▾
No.
What makes χ² large?▾
Large squared differences relative to expected counts.

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