how to perform a chi-square independence test in matlab

In order to perform a chi-square independence test in Matlab, you can use the crosstab function to create a contingency table and then use the chi2test function to perform the test. Here's an example:

main.m
% Create some example data
data = [54 23 11; 78 41 16; 62 28 9];

% Create contingency table
table = crosstab({'Group 1', 'Group 2', 'Group 3'}, {'Outcome 1', 'Outcome 2', 'Outcome 3'}, data);

% Perform chi-square independence test
[chi2, p, dof] = chi2test(table);
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In the example above, we first create some example data in a matrix called data. We then use the crosstab function to create a contingency table where the rows represent the groups and the columns represent the outcomes. Next, we use the chi2test function to perform the chi-square independence test, which returns the chi-square statistic, the p-value, and the degrees of freedom.