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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

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 23784528

Emily M Schmidt¹, Marc Feldmann, A Allart Stoop

¹Kennedy Institute of Rheumatology, University of Oxford, Oxford, UK.

Arthritis & Rheumatology (Hoboken, N.J.)

|April 11, 2014

Summary

No abstract available in PubMed .

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