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This is a easy chi-square calculator for a contingency table that has up to five rows and five columns (for alternative chi-square calculators, see the column to your right). The calculation takes three steps, allowing you to see how the chi-square statistic is calculated.
- Fisher Exact Test
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- Simple 2 X 2 Table Calculator
Chi-Square Calculator. Note: You can find further...
- Wilcoxon Signed-Rank Test Calculator
Enter your paired treatment values into the text boxes...
- Fisher Exact Test
You can use this chi-square calculator as part of a statistical analysis test to determine if there is a significant difference between observed and expected frequencies. To use the calculator, simply input the true and expected values (on separate lines) and click on the "Calculate" button to generate the results.
Kalkulator testu niezależności chi-kwadrat. Podaje wartość chi-kwadrat i poziom istotności.
Use this Chi Square calculator to easily test contingency tables of categorical variables for independence or for a goodness-of-fit test. Can be used as a Chi-Square goodness-of-fit calculator, as a Chi-Square test of independence calculator or as a test of homogeneity.
Are the groups different by random chance? The Chi-Square Test helps us decide.
This web page is intended to provide a brief introduction to chi-square tests of independence and goodness-of-fit. These tests are used to detect group differences using frequency (count) data. This page also provides an interactive tool allowing researchers to conduct chi-square tests for their own research.
Harnessing the Chi-Square Test Calculator. Data Input: Start by entering the observed frequencies for each category in your contingency table. Execute the Test: Once your data is populated, hit 'Calculate.'. The tool will compute the chi-square statistic, degrees of freedom, and p-value.
