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