I feel like Dr. Lee isn’t rated higher simply because his exams can be slightly tricky if you haven’t seen them before. And it can be frustrating when statistics should be easy for most. But in hindsight, I understand in a way you might not at first since the difference between a correct answer and incorrect answer can sometimes seem arbitrary and nitpicky (although his TAs tend to grade very leniently). But actually, this is because Dr. Lee wants you to be able to think through statistics problems, not just regurgitate equations.

That’s not to say this class is difficult or he makes it difficult. Truly, it is not. He makes a 90% a solid A, and gives you the opportunity to drop a midterm if you perform better on the final. You get a whole 8.5 x 11” cheat sheet, front and back too.

But if you’re trying to rote memorize without any thought, you are likely to make at least some mistakes that could be costly. He will tell you virtually everything you need to know in the class, although the textbook can be good for review and to clarify (although if they differ in some nuances, always defer to what Dr. Lee says for exams, obviously.) Make your class time count and take good notes.

At the end of the day, I actually learned a lot about experimental design, controls, and how to think through what statistical tests can be performed depending on what data you have. His lectures were often funny and engaging and since he works in industry more than he teaches, he had a lot of interesting anecdotes and examples. He loved taking questions so lectures were more like a conversation than just a straight up lecture, although it does sometimes feel like he takes a long time to get to the point especially in the first half the course which is mainly basic statistical definitions.

I truly loved this class, and actually worked to get an A+ which according to him is a 395/400 (98.75% in the course), which he very rarely gives. Shooting for an A would have been comparatively far more simple as it leaves more room for mistakes, but I was determined after I got 100% on the first midterm to continue (and did get 100% on the second midterm also). The key is to both pay attention during lecture for the conceptual aspects and be able to tie that together with doing tons of old exams. There are so many on CourseHero. With the conceptual understanding, you’ll be able to better distinguish between why some answers are correct and others are not, though you need to be careful of TA grading mistakes. Because I saw some of these and had to explain to my friends that they should trust their intuition/logic more if something is really off, although it did take some sleuthing and asking during TA/prof office hours to figure out why some more “weird” answers were actually indeed correct. Be careful to note that his pacing changes by quarter so some old midterm 1 exams will have midterm 2 content or some midterm 2 exams go further into hypothesis testing, depending on how slow he lectures. He tells you what topics are covered and to what depth so use your best judgment. I didn’t trust him and overstudied material we didn’t even learn for Midterm 2 lmfao but it was fine since I took this class during summer and all that meant was that I didn’t need to study as much for the final.

P.S. shoutout to Ian, who was lax about the labs, but was a big homie in helping us prepare for the exams aka the ideal TA.

I enjoyed this class, and the material was easy to understand. The beginning of the course is basic stats and is pretty much self-explanatory, but in the later parts of the quarter, it may get complicated and is necessary to go to lectures to fully understand the concepts.

If you've taken AP Stats before, this class should be a cakewalk, but you need to attend lectures to get all the notes. The lectures are interesting because he provides relevant examples from the professional world, and you feel like you're learning something important. Unfortunately, the 4PM time makes you very sleepy. Don't buy the textbook or course reader because everything you need is through lecture. You'll need the z, t, and chi-squared tables from the back of the book for the exams, but you can ask someone for a photocopy. You're allowed one double-sided page of notes for each exam. In terms of practice problems, the suggested textbook problems were irrelevant. I should have gone to the test bank, but I forgot. If you do that, you'll get an A. The class is not curved, so you can easily calculate your grade: midterms are 100 points at 50%, and final is 200 points at 50%. Lastly, labs are mandatory, but the Friday lecture is not; it is actually a TA office hour type of thing.

If you're taking this class with any sort of background in stats (like stats 10), this class will basically be a review of the previous material you have learned. You do learn a few new things here and there, but the basic concepts relatively stay the same. Professor Lee was a very interesting professor, incomparable to the ones I have had before. He really has a passion for teaching biostats and wants students to apply statistical techniques to real-world problems. Although his teaching is very clear, it does not exactly align with the test problems that show up on his exams. So the best way to ace his tests is to utilize the test bank and just practice old exam problems! 50% of your grade comes from the 2 midterms and the other half comes from the final exam.

The class starts at 4 and it's a little too long, always feel sleepy in class! However, the professor compensated this with his sense of humor which makes the boring material more interesting and applicable. The labs....somehow....is....sort of..........you know!