how to perform a chi-square test in matlab

The chi-square test is used in hypothesis testing to determine if there is a significant association between two categorical variables. In Matlab, you can perform a chi-square test using the crosstab and chi2test functions. Here is an example:

main.m
% create a contingency table
observed = [20 15 10;
            25 30 15;
            10 20 25];

% perform chi-square test
[pval, chi2, df] = chi2test(observed)

% display results
if pval < 0.05
    disp('There is a significant association between the variables.');
else
    disp('There is no significant association between the variables.');
end
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In this example, we first create a contingency table called observed. We then perform the chi-square test using the chi2test function, which outputs the p-value, chi-square statistic, and degrees of freedom. Finally, we display a message indicating whether there is a significant association between the variables based on the p-value.