- Thread starter paweljamiolkowski
- Start date

The t-test shown in the article focuses solely on detecting differences in the slopes. The Chow test looks at changes in the slope AND the y-intercept

There are multiple uses and types of t test that make different assumptions. So you have to be careful when you talk about a t test. Some test single populations, some test if two populations are essentially the same, some pool data and some do not.

Or to put it another way, if you want to test the difference in means between two samples with a Gaussian distribution (without autocorrelation), you should use the Student's t test with Chow test together by imposing the condition slope = 0.