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- We show you the way how to conduct perfect research
- Chi square test
- 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?
- Related topics to chi-square test:
- Deepen your knowledge and read our manual about ...
- A perfect research starts with a good research question.
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Chi square test
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
