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Pearson Chi Square

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Pearson Chi Square. A pearson s chi square test also known as a chi square test is a statistical approach to determine if there is a difference between two or more groups of categorical variables. Chi square statistic for hypothesis testing.

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That means that the data has been counted and divided into categories. The chi square test is intended to test how likely it is that an observed distribution is due to chance. For example to see if the distribution of males and females differs between control and treated groups of an experiment requires a pearson s chi square test.

For example to see if the distribution of males and females differs between control and treated groups of an experiment requires a pearson s chi square test.

This test is used when we have categorical data for two independent variables and we want to see if there is any relationship between the variables. It is the most widely used of many chi squared tests e g yates likelihood ratio portmanteau test in time series etc statistical procedures whose results are evaluated by reference to the chi squared distribution. Chi square statistic for hypothesis testing. Let s take another example to understand this.

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