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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 1, 2026

High-resolution Melting PCR for Complement Receptor 1 Length Polymorphism Genotyping: An Innovative Tool for Alzheimer's Disease Gene Susceptibility Assessment

High-resolution Melting PCR for Complement Receptor 1 Length Polymorphism Genotyping: An Innovative Tool for Alzheimer's Disease Gene Susceptibility Assessment

Published on: July 18, 2017

Reply: To PMID 24431286

John H Stone¹, Arezou Khosroshahi

¹Harvard Medical School, and Massachusetts General Hospital, Boston, MA.

Arthritis & Rheumatology (Hoboken, N.J.)

|April 15, 2014

Summary

No abstract available in PubMed .

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