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Chi-square Analysis

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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: Sep 5, 2025

Establishing Cell Lines Overexpressing DR3 to Assess the Apoptotic Response to Anti-mitotic Therapeutics

Establishing Cell Lines Overexpressing DR3 to Assess the Apoptotic Response to Anti-mitotic Therapeutics

Published on: January 11, 2019

Reply to Chen et al.

Jan Hedner¹, Kaj Stenlöf¹, Ding Zou¹

¹University of Gothenburg Gothenburg, Sweden.

American Journal of Respiratory and Critical Care Medicine

|July 12, 2022

Summary

No abstract available in PubMed .

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