Central Limit Theorem in action

I had my #lafecon213 students run Monte Carlo simulations in class yesterday using a program we wrote in Stata. After we’d done the general one, I told them to change something about it and see how it affected the sampling distribution of the coefficient estimates. One student decided to run 100,000 repetitions of the simulation, not realizing what a time suck it would be. It took most of the rest of my lecture (surprisingly long, now that I think about it; perhaps I should complain to IT? I just tried it, pretty sure he did 1,000,000 repetitions), but when he finally had a histogram, I put it up on the big screens in my awesome smart classroom, broke into a huge grin and exclaimed, “isn’t it pretty?!”

If they didn’t think I was crazy before, they definitely do now. It took at least three minutes for them to stop laughing at me.

You have to admit it’s really pretty, no?

Monte Carlo reps output

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Another seminar, another live-tweeting session

We’ve been having lots of seminars here at Lafayette this month. It’s been super fun to read my students’ tweets as they go along, so here again, I’ve storified last week’s seminar for you all, this time by Michael Clark of Trinity College. This time, we were lucky to have my colleague Chris Ruebeck tweeting alongside the students. I think he enjoyed it, too.