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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 3, 2026

A Reporter Assay to Analyze Intronic microRNA Maturation in Mammalian Cells

A Reporter Assay to Analyze Intronic microRNA Maturation in Mammalian Cells

Published on: June 16, 2022

Reply: To PMID 23938610

Anthony M Vintzileos¹, Cande V Ananth²

¹Department of Obstetrics and Gynecology, Winthrop University Hospital, 259 First St., Mineola, NY 11501.

American Journal of Obstetrics and Gynecology

|January 21, 2014

Summary

No abstract available in PubMed .

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