Publisher review:chi2test - The chi-squared test. 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: . ARGUMENTS: x Absolut numbers. p The prob ability value, calculated from Q. Q The resulting Q-value. EXAMPLE 1 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]) p= 4.2073e-08 Q= 30.0515 With an error risk of about 4e-08, we can claim that the samples are independent. EXAMPLE 2 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]) p= 0.8200 Q = 2.2059 The dices don't significantly behave differently. That is, they seem to behave in the same way. Requirements: ยท MATLAB Release: R2007a
chi2test is a Matlab script for Statistics and Probability scripts design by Peder Axensten.
It runs on following operating system: Windows / Linux / Mac OS / BSD / Solaris.
Operating system:Windows / Linux / Mac OS / BSD / Solaris
chi2test script details 
