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Chi-square Analysis

Chi-square Analysis

The chi-square test is a statistical hypothesis test. It is used to check whether there is a significant difference between an expected value and an observed value. In the context of genetics, it enables us to either accept or reject a hypothesis, based on how much the observed values deviate from the expected values.
The chi-square test was developed by Pearson in 1990.
The first step of performing a Chi-square analysis is to establish a null hypothesis, which assumes that there is no real...

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Related Experiment Video

Updated: Apr 11, 2026

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Response to Cestari et al

Jennifer E Stark¹, Marian Klass², Lauren Owen¹

¹Veterans Health Care System of the Ozarks, Fayetteville, AR, USA.

American Journal of Health-System Pharmacy : AJHP : Official Journal of the American Society of Health-System Pharmacists

|April 9, 2026

Summary

No abstract available in PubMed .

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