Updated 30 Aug 2007
Usage: [p, Q]= chi2test(x)
The chi-squared test.
Given a number of samples this function tests the hypothesis that the samples are
independent. If Q > chi2(p, nu), the hypothesis is rejected.
Each column represents a variables, each row a sample.
If you find any errors, please let me know: .
x Absolut numbers.
p The prob ability value, calculated from Q.
Q The resulting Q-value.
In region A, 324 of 556 cows were red, whereas in region B 98 of 260 were red.
[p, Q]= chi2test([324, 556-324; 98, 260-98])
With an error risk of about 4e-08, we can claim that the samples are independent.
Throw two different dices to see if they have the same probability of 1 (and 2, 3, 4, 5, 6).
We don't check if they are symetrical, only if the both behave in the same way.
[p,Q] = chi2test([15,10; 7,11; 9,7; 20,15; 26,21; 19,16])
Q = 2.2059
The dices don't significantly behave differently. That is, they seem to behave in the same way.
HISTORY: v.1.0, first working version, 2007-08-30.
COPYRIGHT: (c) 2007 Peder Axensten. Use at own risk.
Peder Axensten (2023). chi2test (https://www.mathworks.com/matlabcentral/fileexchange/16177-chi2test), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Platform CompatibilityWindows macOS Linux
Inspired: Statistical Analysis, wavelet transform of image
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!Start Hunting!
Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.