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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: May 4, 2026

Author Spotlight: Exploring the Role of Inflammation in the Co-occurrence of Primary Sjogren's Syndrome and Lung Adenocarcinoma

Author Spotlight: Exploring the Role of Inflammation in the Co-occurrence of Primary Sjogren's Syndrome and Lung Adenocarcinoma

Published on: September 20, 2024

Reply: To PMID 24113255

Richard L Berkowitz¹, Sara A Brumbaugh², Michael P Nageotte³

¹Department of Obstetrics and Gynecology, Columbia University Medical Center, 622 West 168th St., PH 16-66, New York, NY 10032.

American Journal of Obstetrics and Gynecology

|January 14, 2014

Summary

No abstract available in PubMed .

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