J David Eisenberg has written a great new tutorial on hypothesis testing and here is a guest post from him for the SOFA blog. Enjoy:
I teach a psychology research methods course at a local community college. Every semester, I see the students’ confusion about hypothesis testing and significance levels. Even at the end of the semester, there are always a few students who think that a statistical result with a probability of .001 must *not* be significant, because the number is so small.