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chi-square test

chi-square test A chi-square test is a statistical method used to check whether there are significant differences in variables between groups.

A chi-square test is a statistical method used to check whether there are significant differences in variables between groups. In the source, it was used to identify which variables differed between an arthritis group and a control group.

Sources

Drafting source: Chen Tianhua; Long Zhiwei. Predicting arthritis risk with machine learning: Insights from the 2023 National Health Interview Survey data. 2025; DOI 10.1371/journal.pone.0336018; article XML SHA-256 dfbc46405c1c173121ed3e879a36051b05df0dcaff5bc671b188d2515cbc3ef9. “Predicting arthritis risk with machine learning: Insights from the 2023 National Health Interview Survey data” (10.1371/journal.pone.0336018).
CC-BY-4.0 · Definition uses new wording; original source retains its stated licence. · Source snapshot SHA-256: dfbc46405c1c173121ed3e879a36051b05df0dcaff5bc671b188d2515cbc3ef9

These citations identify the drafting sources. 2/2 independent reader passes against the pinned source packet. The drafter does not count as a reader. Source institutions do not endorse this dictionary.

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PsychTerms (psychterms.org), CC BY 4.0, version 2. “chi-square test.” Development preview.

Version 2 · SHA-256: 8d5bfd3819fceb1df602ccdd7df6a83158083efbb3436aba594a68817d564b0f

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chi-square test

See also

Sources

Cite this entry