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The chi-square test is used to find out whether a calculated value exceeds a critical value in the chi-square distribution. This test is often used for testing a frequency distribution or the distribution in a contingency table.

Which statistical tests use the chi-square distribution?

The most well-known applications of the chi-square test are those in frequency distributions and contingency tables. However, some more statistical test use the chi-square distribution to test if the calculated value is statistically significant. The chi-square test is also used in logistic regression and the Friedman test. For more information, see these pages.

In the chi-square test a calculated chi-square value is compared with a critical chi-squared value. If you want to know more about the test procedure, read our paper about the statistical test procedure.

Related topics to chi-square test:

• Chi-square distribution
• Chi-square test in frequency distributions
• Chi-square test in contingency tables
• Friedman test

All these tests are clearly explained in our SPSS-tutorials.

Read these manuals to undertand the basics of statistics:

• How to find the correct statistical test
• The statistical test procedure

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