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Contingency Table Calculator

Run the chi-square test of independence on any table up to 10×10: expected counts, per-cell contributions, degrees of freedom, p-value, Cramér’s V, and Fisher’s exact test when the counts are too small.

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Contingency Table Calculator works straight from this page — free, instant, nothing to install. It covers expected counts, per-cell contributions, degrees of freedom, p-value, Cramér’s V, and Fisher’s exact test when the counts are too small — adjust any of them and the result follows immediately.

How to use it

  1. Open the tool — no signup or install needed.
  2. Enter your input or adjust the available options.
  3. Get your result instantly, then copy or download it.

Frequently asked questions

What does Contingency Table Calculator do?

Run the chi-square test of independence on any table up to 10×10: expected counts, per-cell contributions, degrees of freedom, p-value, Cramér’s V, and Fisher’s exact test when the counts are too small.

What does it take into account?

It factors in expected counts, per-cell contributions, degrees of freedom, p-value, Cramér’s V, and Fisher’s exact test when the counts are too small. Change any of them and the output follows immediately.

When would I actually use this?

Summarising a dataset before drawing conclusions from it, checking whether a difference between two groups is real, and putting an interval around an estimate.

What is the most common mistake?

Reading a p-value as the probability that the hypothesis is wrong. It is the probability of seeing data at least this extreme if the null were true — a different statement, and a much weaker one.

How is Contingency Table Calculator different from ANOVA Calculator (One-Way)?

They sit next to each other but answer different questions: ANOVA Calculator (One-Way) is the one to open when you need it to full one-way ANOVA table — SS, df, MS, F and p — plus η², ω² and Cohen's f, because a significant F on its own tells you nothing about how large the difference is. The equal-variance assumption is stated, not buried. Pick whichever matches what you're starting from — both are free.

Is there a tool for the next step?

Average Deviation Calculator (mean absolute deviation) is the closest one after this: The average absolute deviation from the mean AND from the median — the median is the point that minimises it, which is worth seeing. Every |x − centre| is listed, and the standard deviation sits beside it for contrast: squaring makes SD react hard to a single outlier while the average deviation barely moves. The outlier preset is built to show exactly that.

What else is worth having open alongside it?

Bayes Theorem Calculator and Beta Distribution Calculator — they come up in the same task often enough to be worth a second tab.

Where do the figures come from?

Distributions and test statistics are computed from their standard definitions, not from a lookup table, so results carry more digits than a printed table would. The assumptions each test makes are stated with it.

Further reading

All guides →
ExplainerProbability Basics, With ExamplesProbability measures how likely something is, from 0 to 1. Here's the basic idea, how to combine events with AND and OR, and the complement.ExplainerA 1 % Drop Rate Does Not Mean One Hundred RunsAt 1 %, a hundred attempts give you 63.4 % — not certainty. Ninety per cent takes 230 attempts and ninety-nine takes 459, and more than a third of players are still empty-handed at a hundred.ExplainerWhat Is a Z-Score? Standard Deviations Above the MeanA z-score is z = (x − μ) / σ — how many standard deviations a value sits from the mean. Learn how to compute it, read the standard normal curve, and turn it into a percentile.ExplainerMean, Median and Mode: What's the Difference?Mean, median and mode all describe the 'middle' of your data — but answer different questions. Here's what each means, with examples and when to use which.ExplainerGeometric vs Arithmetic Mean: Which to UseThe arithmetic mean adds and divides; the geometric mean multiplies and takes a root. Learn which fits growth rates, ratios, and averages.How-toHow to Calculate Standard Deviation (Step by Step)Standard deviation measures how spread out your data is. Here's the formula, a worked example, and the difference between population and sample.