Gus Gassmann <[EMAIL PROTECTED]> wrote in sci.stat.edu: >Stan Brown wrote: >> Another instructor and I gave the same exam to our sections of a >> course. Here's a summary of the results: >> Section A: n=20, mean=56.1, median=52.5, standard dev=20.1 >> Section B: n=23 mean=73.0, median=70.0, standard dev=21.6 >> >> So let me pose my question: given the two sets of results >> shown earlier, _is_ there a valid statistical method to say whether >> one class really is learning the subject better than the other, and >> by how much? > >Before you jump out of a window, you should ask yourself if there >is any reason to suspect that the samples should be homogeneous >(assuming equal learning). Remember that the students are often >self-selected into the sections, and the reasons for selecting one >section over the other may well be correlated with learning styles >and/or scholastic achievements.
You assume that it was my section that performed worse! (That's true, but I carefully avoided saying so.) Section A (mine) meets at 8 am, Section B at 2 pm. Not only does the time of day quite possibly have an effect, but since most people prefer not to have 8 am classes we can infer that it's likely many of the students in Section A waited until relatively late to register, which in turns suggests they were less highly motivated for the class. The dean has suggested the same self-selection hypothesis you mention. Another possible explanation, which I was unaware of when I posted, is that the instructor for section B held a review session for the half hour just before the exam. So no, I'm not jumping out of any windows. (I did hand out a lot of referrals to the tutoring center.) Mostly I was curious about whether the apparent difference was a real one (as Jerry Dallal has confirmed it is). But as you suggest, we may have two different populations here. -- Stan Brown, Oak Road Systems, Cortland County, New York, USA http://oakroadsystems.com My reply address is correct as is. The courtesy of providing a correct reply address is more important to me than time spent deleting spam. ================================================================= Instructions for joining and leaving this list and remarks about the problem of INAPPROPRIATE MESSAGES are available at http://jse.stat.ncsu.edu/ =================================================================