Yates Correction - Meaning & Definition

Published by MBA Skool Team, Last Updated: May 29, 2013

What is Yates Correction?

Yate’s correction, also known as Yate’s chi-squared test, is used to test independence of events in a cross table i.e. a table showing frequency distribution of variables. It is used to test if a number of observations belonging to different categories validate a null hypothesis. It is a correction made to chi-square values in a binomial frequency distribution table.

It considers that the discrete probability of these frequencies is very near to continuous chi-squared distribution.However, to reduce the error in the assumption, a correction for continuity was suggested by Frank Yates. It is done by reducing the difference between each observed value and its expected value in a binomial frequency table by 0.5. These tests are commonly used when expected frequencies are less than ten.


Formula : XYates2 = ∑(│Oi –Ei│- 0.5)2/Ei


Eg -


Sample A

Sample B














XYates2 = 0.0015


These tests are commonly used in diagnostics, environmental sciences, biology, etc.

This article has been researched & authored by the Business Concepts Team. It has been reviewed & published by the MBA Skool Team. The content on MBA Skool has been created for educational & academic purpose only.

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