1. I got to hang out with a bunch of kewl people from Union at Matthew’s Beach and had a brilliant time. That went well because I got invited, and meg encouraged me, and I got off my butt and went.
2. I got to taste a yummy beer I hadn’t previously tasted–called haymaker pale ale. That went well because I got to meet Tony at Alpha, and Tony rocks, and he has a gift for choosing yummy beers, and he brought this beer and offered me one.
3. I got stuck on the following problem, then in the process of trying to post about my stuckness on the class discussion board online, I managed to get unstuck and figure it out. The answer is 48 =). (that is, with class size lower than 48, Mark can relax because his 25% could just be error. But with class size bigger than 48, he should start to worry) That went well cause I stuck to it and I’m damn good at maths. If you really wanna know the process by which we get to 48, email me at Benjamin at gmail.com, and I’ll send you the answer. (I know, I know, I’m a freakazoid wierdo cause I *like* this stuff.) (by the way, it doesn’t require a trial and error approach. Once you reduce it to a formula it’s amazingly simple, actually)
Mark is a new instructor who has just received his teaching evaluations from his first course. He is really disappointed at how many students said “definitely not” when asked whether they would recommend his course to a friend. Mark goes to seek the counsel of Susan, an experienced member of his department who tells him not to worry. In her experience, even the best teachers tend to have around 15% of students say “definitely not” in response to that question. Mark says, “but 25% of my students said that!”. Susan responds, “that’s just sampling error. You had a small class. Next time you might have no one say it, but it doesn’t mean you’d have done a better job.” How big would Mark’s class have to be before he’d have to worry about observing 25% of students responding “definitely not” when asked if they’d recommend his class to a friend? (This problem may require a trial and error approach).