As someone who took AP Stats before this course, it was pretty easy all things considered. There is very little computation in this class and the course is very much regarding the theoretical/practical side of statistics rather than the formulas. We never even used a z-table in this course. All in all, it's definitely not a terrible class if you have prior knowledge.

I'd also like to interject that I took this course as a GE because I'm not a life science major, so I didn't really have as much reason to get too invested in my grade here, but regardless I did give it the best effort I did and scored well on the tests.

The labs and homework are fairly manageable. I managed to finish them in about an hour or two each, but they still did a good job of teaching the basics of R and statistics.

All in all a good course. As for the professor, he is an acceptable enough lecturer given the trying times (this is during the COVID quarantine), but he did a good job of clarifying things in class and gave engaging examples of what he was teaching. Whenever there was downtime during lecture, he would converse with us and just ask us how we're doing and what our student lives are like. He really seems like a nice and personable guy. Also, he was very accommodating when I ran into tech problems during the course trying to take the exams. Great professor.

Also, like anyone who has taken a statistics class on UCLA and left a review on BruinWalk, I am obligated to bash the TA Jake here. He actively disincentivized me from going to discussions because every time I did I felt like I was being belittled. The syllabus encouraged us to work together on homework so long as we weren't just pasting answers without explanation and we would often share solutions after the homework was due via GroupMe. (There was an official Discord server for the class, but sometimes we just wanted to talk as students and help each other through that rather than using the Discord which often felt more formal.) This happened after I left the group chat, but he apparently joined the group chat just to tell us he was "appalled by the number of academic integrity violations." I didn't follow the GroupMe that actively, but unless there was a major breach during the final, I don't recall anything of the sort. Anyway, https://tinyurl.com/y589266c if you're curious about that

Professor Wu and the TA struggled a little with the online format, but that was to be expected for professors and students alike. Unlike some other unsympathetic professors, though, Professor Wu was obviously doing his best to create a good learning environment and be caring for his students.

Nonetheless, there were some inherent issues with his implementation of the course. For one, the Stats departments obsession with non-collaboration on anything was incredibly annoying. Not being able to work on homework together was tough and isolating. The quizzes were hard and it was unclear as to what topics they were covering. The tests had extremely tough wording at times, and the homeworks were very stressful at points. Most annoyingly was the specificity of the homeworks. Having to name files a certain way or making sure the files were knittable (which an easy solution was never explicity given to this problem) or automatically have 50% of the grade taken off was harsh to say the least.

The use of campuswire helped a lot. The TA Oonyambu was very responsive, albeit a little short with answers sometimes (see also: the way Jake answers questions but a little less harsh). Overall, I would take this class again in its second, COVID-tested iteration, which I think would have a lot less kinks than my session had.

Over the global pandemic this professor was not leniant at all. We all had to use a respondus lockdown browser AND a zoom during our midterm. We were told to turn down the zoom but they were sharing corrections to the test questions that many people didnt see. Furthermore the practice tests he gives us were so easy that everyone got 100 but bombed the midterm. The professor and the TAs especially were not flexible considering the stressfull situation of COVID and online classes. There is no option for makeup work and I was overall very dissatisfied with the course and the professor.

I don't know if it was the professor's idea or the TAs but the homework and labs are graded very strictly on accuracy. There are a lot of analysis and explanation questions, if you get the smallest concept wrong, you automatically get points deducted. Homework and lab are 40% of the total grade so that takes a lot of points of the total, making it impossible to get a fair grade. The class is not flexible at all and they are not considerate about the current situation of COVID. I don't know how the class normally is in-person but if you plan on taking this course when online, I highly recommend you take it with a different professor. The content itself is very easy and my friends who are taking stats 13 with another professor are not having the same problem as I had.

Professor Wu is an understanding, nice professor. However, his lectures are really just not stimulating whatsoever. I found them to quite boring and poorly paced. We ended up having to rush through the last chapter leaving many students (including myself) confused.
The homework can take some time, but I found it to be fairly straightforward. The quizzes can sometimes have unclear wording, but they weren't difficult.
The assigned labs tend to stray from the lecture materials, but they're walked through by TAs so they're not that tough to complete.
I found the exams to be quite difficult compared to the lecture example problems and the HW questions. The midterm wasn't bad, but I found the final to be pretty tough. Luckily though, he's quite lenient on grading and applies some extra credit/curves while dropping the lowest HW + quiz grades.

All in all, Stats 10 with Wu is a class where success is certainly achievable, although the lectures and section material are mind-numbing and far from engaging.

Professor Wu explains the content really well. Midterm and Final are all MC questions. Labs and hws are easy.

Lectures slides are clear and informative. You might want to take notes on his lecture slide "doodles" during lectures, because they are important and will not be updated on lecture slides.

Homeworks and exams are tough. Although he meant well to push students study hard, assignment policies are harsh and he explicitly forbids collaboration. Respondus Lockdown Browser is mandatory for exams.

Heads up for homework due date changes and check CCLE daily. For Winter 2021, he moved the deadline of the last assignment several days ahead without informing students.

It absolutely disrupted my review schedule for another class' final . Some students I know ended up pulling all-nighters to cram this last assignment. Hopefully this will never happen again.

This class wasn't difficult. The content was straightforward and Professor Wu was a good lecturer. There were a few R programming labs, but the TAs gave all the answers in discussion. The midterm and final were multiple choice and while they were on Respondus, they weren't bad. Overall, I would highly recommend this class and Professor Wu.

I would not recommend this class because of the grading structure. The overall material is not tough even if you do not come from a statistics background. However, the grading structure has no room for improvement or mistakes.

There are two exams: a midterm and final. Each is approximately 30 questions and theory-based, but the content of the exams is not similar to the textbook questions or lecture clicker questions. The class median for these exams were around a C, and this did not concern the professor. Scoring the median grade is basically a guaranteed B, despite doing extremely well on the final.

I would not take this class again as I felt I was not given the opportunity to learn.

TLDR; the class is relatively easy, the professor was pretty good and explained well, but the exams were difficult imo.

Admittedly, this class was relatively easy in terms of class content. As someone who didn't take AP Stats, it was easy to follow along, although there were some concepts that I had some trouble with. But all in all, if you pay attention to the lectures and read through the textbook you should be fine. I had this class entirely in person. So his lectures are about an hour and fifteen and he uses powerpoints, which I believe he posts on CCLE. He also recorded his lectures so it wasn't a big issue if you missed some classes; although participation doesn't matter, he did pass around a paper a few times throughout the quarter as a sign-in sheet, but that was for the school, not the class. As a lecturer, he's pretty good; he explains the concepts pretty well and gives a lot of examples in his slides; I found myself understanding the contents of the course pretty well.

The real kicker was the exams. He does provide sample exams for the midterm and final, but I wouldn't put too much trust into those as representative of the actual exams. From what I know, they're recycled questions from throughout all the stats classes. In my opinion, Wu's exams were much much harder than the sample he gives; the samples probably work as a reminder, but the actual exams were more specific and were often worded in a tricky way. It was entirely multiple-choice, about 25-26 questions, each worth about 4 points. But you can see that missing a few questions isn't desirable. I believe for my class, the midterm mean was 71, which he did not curve by the way, and the final mean was about 66. I would say, the quiz questions are the closest to the types of questions you'll get on the exams. You get about 6 or so quizzes on CCLE, one attempt but it's not timed.

As for homework and labs, they were manageable; he wanted everything to be typed. We got 6 homework assignments, the 7th one being extra credit, an extra 2% to our grade. The homework assignments are relatively easy, all from the textbook, and all based on the content we learned, and if you didn't remember, you could look back in the textbook. The textbook is mandatory, but I got it through the Inclusive Access thing. For the odd questions, you can check your answers in the back of the book, for the evens, the odd question before was usually a similar style of question. FYI, some questions had multiple parts. And often, the longest questions for me were the calculating ones; you can imagine how long calculating standard deviation usually takes, especially when you're typing out the equation and showing all your work. The labs are pretty difficult to go through on your own if you don't already have knowledge in R coding; you do have to download R but they show you how to do it. We had 5 labs. I would say it depends on your TA. Personally, my TA (Vincent Liu) was a bit shy and awkward, very quiet, and didn't really explain well, but he basically gave us a walkthrough of the labs; an easy way to ace the labs. He did it step by step (I can't speak for the other TA's), so going to the discussions is what I recommend for labs. I got perfect scores on my labs because of it.