This is definitely an EASY A GE. Professor Wang provides her students with previous quarter sample exams and the slides which makes the exam much easier. Besides, the lecture given by Professor Wang are super clear, while the HWs in this class are completely optional which means the workload is very light. After every lecture, there will be a post-lecture pop quiz which counts towards the participation credits, and there's easy extra credits. Overall, this course is definitely not a time consuming but an EASY A GE. I highly recommend this course to those who have already select multiple intense major course during the quarter.

For those considering enrolling with her, I'd say she's good. While it is an easy class with a good grading structure(and an easy midterm), I felt like lectures were slightly lackluster because she would literally read off the slides(To her credit, slides and lectures are really nicely organized). She's super nice and explains everything coherently and is very considerate about timezones. Labs can be a little time consuming, but I guess that's not something you can fault her specifically since labs are a general req for this class. TA's kind of tell you what to do on them anyway.

** I took it virtually because of COVID

Pretty easy class, but I took AP Stats in highschool. Overall the Prof was really nice and uploaded slides, recorded lectures, etc; the only warning I would give is that there is some coding in R Studio. My TA uploaded all the code to CCLE so it was okay, but it was definitely what I struggled with most in the class. Prof Wang structured it so that 20% was labs (coding in R, there were 5 labs), 20% participation (by completing lecture view quizzes that you could attempt infinitely), 20% quizzes (there was one each week and she dropped the lowest two), 20% midterm and 20% final which were both around 30 questions and multiple choice. She did assign homework, but it was optional, and she provided the textbook PDF so that we did not have to buy it. She grades on an absolute scale and the top 5% get an A+. I would take this class again for sure.

I took this class as a major prereq and was concerned at first with my lack of experience in stats and any programming, however, prof Wang is an amazing lecturer and this class became one of the easier courses in my schedule and probably the easiest “math” class I’ve ever taken. Definitely recommend wang for stats 10, she’s very organized, clear, and cares about student learning, and accommodates to different time zones by expanding test windows and extending deadlines, etc

Grade breakdown:
20% - Lecture View Quizzes: about two per week and you have a two-day window to take it an indefinite number of times
20% - Online Quizzes: 7 weekly quizzes where your lowest score is dropped
20% - Labs: due every other week (5 in total) pretty tedious but the TAs walk you through everything so just following along to what they do will most likely give you an A in this category; toughest part is downloading R and figuring out errors that may come up in your code, I recommend choosing Andy as your TA!
20% - Midterm: Wang hosts a review session prior along with posting a practice midterm that is fairly similar to the actual one; midterm was pretty easy I think most ppl got a A or B on it
20% - Final: Same reviews and practices as midterm, final covers material post-midterm but content is more difficult imo
1% - Extra credit: end of quarter course evaluation

TLDR: if you have to take this class take it with wang; easy A if you just complete the work, attend lectures and watch section vids

***I took this class online in a virtual format due to COVID-19.
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OVERVIEW: Overall, Wang and this class were both pretty good. The difficulty of this class primarily depends on if you've been exposed to the topics beforehand, i.e. AP Stats. If you've taken AP Stats and remember everything, this class has nothing new to offer you and is a free A. Otherwise, prepare to study the topics a bit, but it's still quite an easy subject. The workload is very light for the number of units, and tests are all multiple choice with a period in a 24-hour window.
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GRADING: Grading is very straightforward in this class, there's no curve and homework is not graded. Participation was required (either through a live Zoom survey, or a short quiz you could take after you watched a recorded lecture). Other than that, there's the weekly quiz, labs, and one midterm and one final. Extra credit was offered for participating in Campuswire, which is really easy. It kind of got out of hand when every question was answered seven times with the same answer, but it's not hurting anyone and it's free points, so why not?
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HW: There is literally no graded homework. Selected problems are posted with solutions, but are completely optional, so if you've taken AP Stats and feel confident in the material you can skip it, but it is really good practice. Other than that, there's coding labs with R, which sounds intimidating but you can literally just copy exactly what the TA does in discussions and get 100%. Coding is never on the exams, so just follow along during discussions and it's no problem.
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EXAMS: There were around 7 weekly quizzes that were relatively short. They're not timed or anything, and you can start them anytime during the week, though you only have one attempt. Overall, not a big deal as long as you keep up with the material. Midterms and finals were of the same format, one long CCLE quiz you had 90 minutes to take in a 24 hour interval. Very fair questions, and anytime there were issues, the question got fixed and points reimbursed. Exams and quizzes together make up 60% of the grade, so do make sure you're prepared for them though!
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SUMMARY: Wang is a decent lecturer, if a bit boring at times, but she's very nice/approachable. There's many office hours for help, and the Campuswire is super active. I'd recommend this class/professor for a requirement or a GE. Overall, it's quite stress-free, and the accommodations for online learning were great as well.

I highly recommend this Professor Wang to anybody considering Stats 10. First, she is very sweet and clearly cares about the student's well-being. For the class itself, it won't be the easiest class you've ever taken, but it will be far from the hardest. It's around the 15th - 20th percentile of courses in terms of difficulty of those I have taken. You have to put in some work throughout the quarter with labs and such, but it is all extremely manageable. The first 2 sessions with the TA are by far the most important. Pay attention carefully and be prepared to learn the basics of R very fast. After that, the discussions are pretty light. The midterm and final are manageable and there is a favorable grade scale. Grade scale: 20% participation, 20% weekly quizzes (unlimited time, open note, and lowest get dropped), 20% labs, 20% midterm, 20% final, and 1% extra credit for a survey. I suggest taking this class if you have 1 or 2 other hard courses to even out the workload. It's a nice easy - medium effort class where you learn a lot and satisfy a GE requirement, lab requirement, and possibly a pre major requisite.

First off, Professor Wang is like the opposite of what all your high school teachers would say professors in college are like. She plays statistics songs and will fix issues with the class when students ask or complain. She is one of my favorite professors I have had here at UCLA. She is sweet and kind and her lectures are very precise, in the sense, that it teaches you everything you need to know for the tests and quizzes. I would say that as for statistic labs, which are coding in R, they could be very difficult if you are never exposed to coding before. Luckily, my TA Arjun was a god and would literally do the projects with us in class. He was very good and effective in conveying topics and recapping class. I loved the structure in this class because the work was not overwhelming but kept you on track. The quizzes were pretty easy and the final was extremely easy. This class is an easy A for anyone regardless of your major.

Professor Wang is so sweet and accommodating. She really cares about all of her students' well-beings, and was always lenient with deadlines in response to crazy real-world current events. I loved this class! I was disappointed at first that I did not get Professor Cha as all of her reviews are raves, but I ended up so grateful that I got Professor Wang.
Lecture attendance is not mandatory, and neither is section attendance. All you have to do is take a short participation quiz that you can take as many times as you want until you get a 100. The midterm and final are very straightforward and similar to the weekly quizzes. The TAs do a good job of explaining the labs, and they are a lot easier than I expected them to be. I HATE coding, but it was very manageable! I highly recommend this class.

This class is a very easy A and I absolutely love the hands-on experience you get with R labs. However, if there is a better professor to choose from, I would definitely go the alternative route. While Wang is super sweet, she also just reads straight off the slides. I love stats, but I found her lectures to be painfully dry and boring. They can also get extremely confusing at times and combined with the lack of engagement, I found myself really dragging myself to the finish line by the end of the course.

Overall, this class will not make you cry, it just might make you super bored. The labs are AWESOME, however, if you're interested in coding or a future in data science/stats. I had no prior coding experience, but if you listen to the TAs and watch the discussion lectures, it's super manageable.

The labs were not explained well in the beginning but becomes simpler as time goes by. The concepts felt rushed through each week and kind of difficult to keep up with-many found the midterm hard, but a bad grade then does not decide the final grade! Recommend tutoring if not math-inclined.