Oct

8

You might have gotten the misimpression from my previous post that I don’t think students need to learn all that much matrix algebra that I am a slacker as far as expecting students to come to courses with some prior knowledge. That’s not exactly the case. In fact, here are some things I just assume students coming into a multivariate statistics course should know and even though some textbooks begin with these, well, all I can say is if you have had three statistics courses and you still don’t know what a covariance is, I think something has gone awry in your education.

Diving into MANOVA was really what I wanted to blog about next, so maybe I will actually get to that in the context of analyzing missing data, but having failed already at my attempt to leave my desk before midnight, that will have to wait until next time.

Having found no significant differences in the missing and non-missing data, as I’d expected, I went on to do a couple of more analyses where I was quite surprised not to find differences, but that will also have to wait for next time. I’m really only mentioning it here so I don’t forget. Wouldn’t you think that there would be differences in hospital length of stay and age by race and region? Well, I would, but I was wrong.

On a random note, I have to say,  I really do love this remote desktop set up for teaching. It solves the problem of whether students have Windows or Mac, having to get needed software installed. All the way around, I love it.

 


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