As someone who has easily gotten As in math classes in the past, I found this class very difficult. Prof Wang uses slides for her lectures, which she will annotate on top of. The issue is that she moves very quickly during lecture (especially by the second half of the quarter), and the slides are basically incomprehensible after the lecture since there is so much writing on them. She also spent too much time going over things that weren't ever tested (like proofs) so that there ended up not being enough time for her to explain any of the examples/exercises thoroughly (which would be way more helpful).

Definitely read ahead on your textbook before class, since her explanations are often difficult to understand and go by too quickly to fully grasp. I ended up needing to rewatch the recordings and pausing every like 5 seconds to figure out her lines of logic. Also her slides and other materials were definitely partially AI generated lol, there were a bunch of random emojis and excessive amounts of bolded text

I went to a few of her office hours but didn't find them super helpful. Maybe she's more receptive during in-person office hours (I was in the online class) but she generally brushed off my questions quickly and made me feel bad for asking them lol.

Tests were pretty hard. She does pull a lot from examples she does in lectures, but because she doesn't really ever explain them in-depth, it was difficult to think so quickly on your feet (especially because there were way too many questions for the time allotted). Homework was also hard but try not to use ChatGPT for it, since the difficulty was pretty in-line with the difficulty of the exams.

Overall avoid her if you can! But if you do get her definitely get ahead with the textbook, it helped me a lot since a lot of lecture materials are based on it

There is a lot of mixed stuff coming from here, so here is my perspective as a non-stats major who is taking this class as either engineering tech breadth or something necessary for a minor degree in something

1. Yes attendance required is annoying, but find someone hella studious who can give you the answer and you can trade off or take turns whatever. She is super clear about the attendance quiz answer. If anything, just spam Piazza. As long as you reply with something semi coherent, you get points and you can miss up to like 7 lectures/discussion

2. Homework and content is not as free as anyone says, but by far not to the difficulty of any upper division course. That is to say, don't throw this class, but put in some effort and you should do fine. They are, as many others have said, good prep for the exams.

3. Exams. Hit or miss. I agree they are a little longer than they should be for the general minimal effort audience. For the grinders, it is probably super easy. The Final is an hour and a half, not three hours. It's semi cumulative, but the emphasis is on the latter half. I agree the practice final is bad practice. Homework questions and ones similar to them are better.

4. The lecture is recorded but with audio only? So not sure how I feel about that.

Overall, this class is fine. For first years, I'm sure it comes as a shock because my freshman year first quarter classes were not as intense, but maybe I got lucky. Otherwise, it is a very average run of the mill course. THe professor is pretty alright all things considered.

Professor Wang is a decent lecturer. She is dry and not that engaging in her lectures, but the content for STATS 100A is somewhat rudimentary. In all fairness, during the lecture, she goes over concepts, proofs, and does sample questions that mimic the type of questions that are likely to appear on the exam. She does this all very thoroughly, so she does multiple examples per concept. I never left the lecture feeling confused about the concepts or the problems, because she does explain it well. The problem with her lectures is that she goes very quickly, often covering two or three important concepts per week. If you are ever confused about the content on her slides, she gives very brief explanations and proceeds to continue on. She is more helpful during office hours, but she definitely goes at a fast pace. She also uses slides and publishes her annotations to BruinLearn (which is really helpful for midterm/final review).

Homework was definitely reasonable and manageable. She gives problem sets of ~10 problems per week and gives around a week to finish them. Some of the questions are tricky, but most of them are pretty straightforward if you know the concept well or paid attention in lecture. What was somewhat annoying was that attendance is mandatory for the class, but if you missed class for a couple of days, you could make it up through Campuswire/Piazza participation.

As for the exams (midterm and final), I felt that the questions she gave were reasonable and never strayed from the content on her slides. The questions themselves were a little harder than what was covered in her slides, but around the same difficulty as the problems she gives in the homework. I felt the final was reasonable (3 out of the 6 problems came directly from the homework), but, asking around, other people seemed to think otherwise. For midterm/final prep, I would definitely go through the examples she does in lecture, and redo the homework problems. For this class, the textbook is absolutely useless, so practice whatever material she posts on Canvas. Also, her practice midterm and final were a joke compared to the actual exams, so I wouldn't use them for a significant portion of the review. She does generously curve up at the end (an entire letter grade for this quarter), so I wouldn't worry too much about the raw grade in the end.

TLDR; Professor Wang is a good professor, but her exams are a little tricky and on the harder side. She does curve generously, is helpful/approachable, and gives good review material so you can do well in the class. I would take Professor Wang again, and she does give out a lot of A's.

Wang is a nice professor, and she tries hard to explain the material to us. However, I would say that a lot of the time, it feels like we're being thrown formulas at. It might just be a stats class problem in general, but I don't feel like I understand the intuition behind the formulas. It's just a lot of information, but difficulty-wise, I wouldn't say it's too hard.

As for the grading scheme, attendance for both lecture and discussion were required and worth 7% of the grade, but you can answer campuswire questions and get a few points back for the lecture(s) you missed. The midterm was worth 35%, and the final 38%. Homework 20%, we had 6 of them, and they were all pretty doable (can go to office hours if you need help!). We had 1% of extra credit (respond to the SET survey), and she also applied a pretty generous curve at the end (at least 1.5% up), so don't worry too much about your raw grades.

Also, I took it in person. Our grade distributions for the midterm and final were NORMAL. Midterm median 79 (lower QT 70, upper QT 91), final median 75 (lower QT 62, upper QT 85). I believe the online class had some... strange distributions with the midterm median 87 (upper QT 95, lower QT 66, similar midterm btw), not sure about the final. I wonder why... (which means you should take it IN PERSON!!!)

Overall I'd say this class was fine. Did I learn that much? Probably not. Would I take it for fun? No. But if you HAVE to take Stats 100A (ahem major req), taking it with Bingling Wang isn't a bad choice.

Attendance for lecture is mandatory, but you can also make up participation points on Campuswire. She adds a short break in the middle of class. She explains material decently and goes over a few examples. She posts lecture slides and annotations. Homework isn't long and is selectively graded on correction while other problem are completion. Midterm during Week 6 consists of about 5-6 questions and is fair in my opinion. Some problems were similar to the lecture examples but additional problems beyond homework is necessary to study. Final was not cumulative and was a similar length to the midterm. Final was pretty fair as well. You're allowed a letter sized cheat sheet front and back for the midterm and final. Grading scheme: 38% Final, 35% Midterm, 20% Homework, 7% Participation. Definitely a doable and relatively easy class.

If you can do the homeworks without cheating, you can do the exam easily. Her reason for not grading was that the distribution was left skewed, meaning if she used a normal curve it would LOWER grades rather than increase them. She said she would curve if it was needed at the end of the class. The reviewer complaining about this probably never watched a single lecture. Not a take home exam?? Why on earth would it be??

Lectures are fully recorded and participation is easy (just listen and wait for her to say: "OK, I've opened the attendance question, the answer the example to the problem we just did, its xyz"). If you miss some participation, just answer some BS questions on Campuswire since everyone works together to like each other's messages. If you really can't show up to any lectures, then pick a different class. It's an online class, not asynchronous.

Overall, the class was fine. Attend lectures and just wait for her to announce participation. Watch lecture recordings on 1.5x speed and answer some questions on Campuswire until you get Eagle. Have AI help you with homeworks but just bit a bullet and do it. The content isn't stupid but it isn't hard by any means and Professor Wang is good enough. If you have a modicum of effort to apply towards class then it will be a breeze.

Terrible professor. The midterm was way too hard, and not enough time was given. A quarter of the class failed - Median 86.5, Mean 77. When asked if she would curve, she basically said that we would have to wait until the end to see. The final was not a take-home exam and was a longer midterm that was even more time-constrained. It was 6 questions, about 4 parts each, in 90 minutes. She said in some announcements that terms did not need to be simplified on the exam, but docked people for not simplifying. Respondus Lockdown Browser was having constant issues across the board for many people. Not enough practice was given, and the exams were wildly different from the study guide and homework. I also suspect she uses ChatGPT to write some things for the course, given the random bolding and emojis in a lot of the materials

The only saving grace is that the class might be curved, but who knows? The syllabus says grading is done on a straight scale. I am writing this after the final and before my final grade

38% final, 35% midterm, 20% HW, 7% class participation

1% extra credit was offered for filling out the course evaluation

This is coming from someone who earned As in Physics with Corbin, Math 32A/B, and Math 33A, and achieved a significantly above-average score in CS35L with Eggert. This is by far the worst class I have taken

Professor is very dry and boring, a quarter of the class failed the midterm, attendance matters which sucked since her lectures were awful. I think if you put in effort youll be able to get a decent grade but yeah not an easy A for sure but also not a wow this is the worst class ive ever taken in my entire life. Also the textbook is so hard to digest by yourself so that sucked too. Lectures are audio recorded but not visually so another bummer. Midterm worth 35 final worth 45 participation 7% hw the rest

Attendance was required and part of the grade :(

I liked Professor Wang's class. If you actually go to the lectures, you will learn what you need to complete the homework and do well on the midterm. I will say, the lecture goes pretty fast, so you don't really have time to ask questions or process during lecture. I missed one lecture (they are not recorded) and the lecture slides are difficult to parse if you are not there in person. There is one in-person midterm and a take home final. The homework was relevant to the lecture material, and similar to the midterm, which was actually easier than the homework. She gives us a short break in the middle of each lecture which is nice too. Professor Wang takes attendance during each lecture, either through roll call or a super short attendance quiz. Overall, I would take Professor Wang again.