Pearson Chi Square. Chi square statistic for hypothesis testing. Let s take another example to understand this.
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The chi square test is intended to test how likely it is that an observed distribution is due to chance. 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. 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.
It is also called a goodness of fit statistic because it measures how well the observed distribution of data fits with the distribution that is expected if the variables are independent.
Expected counts in a goodness of fit 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. Chi square test for association independence the second type of chi square test is the pearson s chi square test of association. A chi square test is designed to analyze categorical data.
