chi2cont

chi2cont performs a chi-square test for an m-by-n contingency table

You are now following this Submission

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 (2026). chi2cont (https://uk.mathworks.com/matlabcentral/fileexchange/45203-chi2cont), MATLAB Central File Exchange. Retrieved .

Acknowledgements

Inspired by: Chi-square test - contingency tables

General Information

MATLAB Release Compatibility

  • Compatible with any release

Platform Compatibility

  • Windows
  • macOS
  • Linux
Version Published Release Notes Action
1.0.0.0