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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 5, 2026

Optimized Griess Reaction for UV-Vis and Naked-eye Determination of Anti-malarial Primaquine

Optimized Griess Reaction for UV-Vis and Naked-eye Determination of Anti-malarial Primaquine

Published on: October 11, 2019

Reply: To PMID 24243345

Annapurna Poduri¹, Mustafa Salih, Christopher A Walsh

¹Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA.

Annals of Neurology

|November 19, 2013

Summary

No abstract available in PubMed .

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