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Chi-Square Test in R

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Chi-Square Test

The Chi-Square Test is used to analyze the frequency table (i.e., contingency table), which is formed by two categorical variables. The chi-square test evaluates whether there is a significant relationship between the categories of the two variables.

The Chi-Square Test is a statistical method which is used to determine whether two categorical variables have a significant correlation between them. These variables should be from the same population and should be categorical like- Yes/No, Red/Green, Male/Female, etc.

R provides chisq.test() function to perform chi-square test. This function takes data as an input, which is in the table form, containing the count value of the variables in the observation.

R Chi-Square Test

In R, there is the following syntax of chisq.test() function:

Let’s see an example in which we will take the Cars93 data present in the “Mass” library. This data represents the sales of different models of cars in the year 1993.



R Chi-Square Test



R Chi-Square Test

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