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.

***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 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 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 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.

If you have a background in STATS from high school, great! You're basically set for an A+ in this class. But if not (like me), be prepared to settle for a B. Don't trust all these amazing reviews about her if you are not good at/ don't know STATS.

The grade distribution for this class ensures that if you put in the work, you're on track for lowest a B-, even if you don't understand the material. You get 10% for participation, another 10% for online quizzes that automatically becomes a 100% after you get 25 points total across the entire quarter, etc. The exams are what pull you down. They are extremely complicated, unlike anything she teaches in her classes, and only out of 20-25 points which means your grade drops every time you get 2-3 questions wrong. She also doesn't provide any practice problems throughout the quarter. Its strictly what she goes over in class and the homework problems, but since she doesn't provide an answer key for it, its no help at all. She also takes YEARS to grade assignments which doesn't make any sense to me because its all online and through Canvas.

I probably should have attended office hours to save my grade but she was so judgemental everytime someone asked a question in our zoom meetings that I was too scared to. All around, its a good class with an amazing distribution taught by a terrible and unresponsive teacher, which ruins the entire thing. Sure, its low effort class, but you will come out of it learning nothing, and realizing you were better off taking it at a community college, learning something, and scoring an A.

This was an asynchronous class, and because of the nature of asynchronous classes, it had a lot of tedious assignments, which aren't so hard yet time-consuming. This class is very doable and is very possible to get an A in this class, as long as you are on top of things. Missing or late assignments will heavily impact the results of this course. That said, both Prof Wang and the TA were kind and helpful, and they both were a big help when I was stuck with coding assignments and preparing for exams.

Grade breakdown:
• Discussion activities (10%)
• Quizzes (total 9) (15%):
• Assignments (total 5, 5th one was optional for us) (24%)
• Exams (Midterm 18%, Final 18%)
• Course project (15%)
• Participation Extra Credit (3%)

I would definitely recommend taking this course if this is one of your required courses or if you are looking for a easy science GE.

This was the easiest asynchronous STATS class I've taken and I'm a history major. There were only 2 projects that were counted towards the final grade, a weekly quiz, and one midterm and final which were both multiple choice. There was a weekly discussion online but attendance was not mandatory only needed if you need extra help.

Lovely professor. Easy class. Decent group project presentation. TAs are very helpful with code. We only had a midterm exam and weekly quizzes, plus a coding and math exercise assignment every few weeks.

THIS IS A REALLY, REALLY EASY CLASS. Seriously, weekly lectures (all posted online) cover all the material needed for the midterm in perfect detail. The assignments in the class are R-based, but the TAs are extremely helpful and essentially give you the code anyway. There is only one midterm, which is really, really easy. Studying the night before/morning of will get you an A. There is no final exam so I stopped attending class after week 6, only a final project. You get to work in groups, and the project is fairly easy and straightforward. Attendance is recorded, but it is a quiz on Canvas you finish after class. So, technically, you don't even need to go to class as long as you log in on time to finish the quiz. Definitely recommend Professor Wang -- she's a good lecturer, cares about her students, and has a really easy course structure too. Overall, I 100% recommend this class as it is an easy A with little/no effort.