chi2cont
h = chi2cont(x) performs a chi-square test on the data in the m-by-n contingency table x. The null hypothesis is that there is no difference in the row variable distribution ('outcomes') between the columns ('treatments'). The result of the test is returned in h. h=1 indicates a rejection of the null hypothesis at the 5% significance level.h=0 indicates that the null hypothesis can not be rejected at the 5%
significance level.
h = chi2cont(x,alpha) performs the test at the (100*alpha)% significance level. The default when unspecified is alpha=0.05;
[h,p] = chi2cont(...) returns the p value of the test. The p value is the probability, under the null hypothesis, of observing a value as extreme or more extreme of the chi-square test statistic.
[h,p,X2] = chi2cont(...) returns the chi-square test statistic.
Cite As
Mark (2024). chi2cont (https://www.mathworks.com/matlabcentral/fileexchange/45203-chi2cont), MATLAB Central File Exchange. Retrieved .
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Inspired by: Chi-square test - contingency tables
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1.0.0.0 |