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Chi square test

The chi-square test is a statistical test to test a computed value with a critical value in the chi-square distribution. This test is often used for testing frequency’s and contingency tables.


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

Deepen your knowledge and read our manual about ...

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