Professor Cha is so sweet! She really made statistics, a subject I used to hate, interesting and easy to digest. She's a great lecturer and is always willing to answer questions if you need something repeated. Although you had to go to Tuesday lectures for participation, if you had timezone issues she was very flexible and would give out alternate assignments. The Thursday asynchronous lectures were all relatively interactive and well laid out so they really helped digest the material. The labs were relatively easy as you could often just finish them during discussion sessions or watch the recordings afterward. The weekly quizzes were also relatively easy and good at keeping the material fresh in your head as even though you only could submit once, you had all weekend to do it. The exams were during Week 5 and 10 and were not cumulative and relatively easy with each only being worth 15%. The final project is designed for one person but you can work on it with a group of up to 5 people which made it take no time at all. Even after that, she offers 1% extra credit for completing two surveys about her class. She really appreciates and takes into consideration the needs of the students and I would highly recommend Professor Cha to anyone wanting to take Stats 10!

As someone who didn't take AP Stats in high school and had very basic knowledge of stats coming in, this class was fairly easy. Lectures were recorded, there are two check-up assignments per week, and labs were free points as long as you follow the TA's instructions. Professor Cha goes through examples in class, which are helpful for the quizzes and exams. She also gives out a practice midterm and final, which are a good reflection of the actual exams. Overall, Professor Cha is great lecturer and explains topics very clearly. If you don't understand anything, I highly recommend going to office hours because she is more than happy to explain topics that you don't understand! Side note: always read the problems carefully and understand what is being asked of you.

Professor Cha is extremely friendly, helpful, and genuinely cares for her students. The class itself was not difficult at all -- I did not take AP Stats in high school yet the class was still fine for me. I was initially worried about the R component of the course, but the TA walks you through the lab assignments step-by-step during discussion. Would def recommend

This class was a great introduction to Statistics and was one of the first classes I took at UCLA. I did not take Stats 10 in high school, I found this class to be easier than AP Calculus in high school. Professor Cha has very good slides. I found it hard to pay attention in lecture because it was in the morning for me, but Professor Cha always stayed to answer any questions I had. The first half of the class was pretty easy, but the class started to get challenging around week 6. I scored much better on the midterm than the final -- don't let your guard down. The exams were around 30-35 questions, so you don't want to get a lot wrong. Make sure to stay on top of your work and you will be fine! The lab sessions in r were simple, and the TA walks you through everything, so if you have a hard time with coding, if you pay attention in discussion you will be good.

Made me love stats again, was willing to send extra material to students who wanted to learn past the class topics and acted as a guide for how to approach that

Grade Division:
- Online Quizzes - 15%
This class had almost weekly online quizzes which were about the material learned during the week. The formatting included multiple choice, drop down questions, and short response with only one attempt allowed per quiz but no time limit. No late submissions were accepted since the quizzes open on Friday morning and close on Sunday night which should be enough time to complete them. I think the quizzes were pretty easy as long as the lecture was making sense to me.
- Labs - 20%
You have two weeks to work on each lab. TA's walk you through the labs during discussion. The labs use R Studio and involve coding which TA's will guide you through. They are due on Saturday at 11pm and are deducted by 10% for every day last before the hard deadline on Monday. The lowest lab is dropped. I think the labs were pretty easy overall as long as I was attending my discussion section because my TA would go over everything pretty thoroughly.
- Exams - 20 and 30% (50% total)
Both the midterm and final exam are in person and require Respondus Lockdown to be completed. You have 70 mins (all of class time) to complete these exams. The final is not cumulative. Whichever exam you score higher on ends up weighing more in your final grade. There is no coding included in these exams. If I had studied more for these exams then I probably would have done better in the overall course. Personally I did better on the midterm than the final mainly because during the last five weeks she had a couple online lectures during the fall quarter and that totally threw me off. Otherwise I probably would have done better.
- Group Project - 15%
This project requires collaboration with other classmates either your own group or a randomly selected group of up to 7 people. Project is due towards the end of the quarter. The professor and the TA's provide assistance for the project.
- Extra Credit - 1%
Given for participation during lectures by answering iclicker questions. Answers do not have to be correct.

Professor:
Overall I think Professor Cha was clear and concise. She provided resources such as the optional textbook and her annotated slides which detail the textbook chapter by chapter. Despite her having some strict deadlines she does provide opportunities to improve your grade which I think is always a plus. She remained focused and made sure to address any questions that came up during lectures. As long as you get everything done in a timely manner and reach out to her and/or your TA for help you should be okay.

Notes:
- There is a textbook for this class and it is optional, I'm pretty sure it is also available online so I would recommend to opt out of it at the beginning of the quarter.
- Grades are not curved unless she sees that the majority of the class is not doing well (stated in her syllabus)
- She records her lectures and posts the slides but you will not receive extra credit if you never show up because the iclicker tracks your location.
- This course requires the usage of a laptop to complete the labs and the exams.
- R and RStudio are required software
- A cheat sheet was allowed for exams but I would still highly recommend that you study beforehand so you really get an understanding of what you've learned.
- Coding is not a part of any of the exams or quizzes but it IS included in the labs and the group project.

if you took ap stats in high school and did well this class will be incredibly easy. if not it’s still pretty easy to follow along! the weekly quizzes were open book and very easy. i was mostly worried about the coding assignments but my TA (shoutout to alejandra arjon) spoonfed my section the code every week. the exams are pretty fair, not too hard or easy, and you get a doubled sided cheat sheet for each. there are two exams (week 5 and week 10) and a final coding project that you do with a group. it's pretty easy though and a group of 5-6 could knock that out easily. if you attend every lecture and do the clicker questions, you get 1% extra credit added to your final grade. professor cha was super sweet and accommodating!! this class was a super easy way to satisfy the life/physical science GE requirement

I have already take AP Statistics and scored a 5 on the exam but as a Statistics and Data Science major we were required to retake Stats 10, so take my review with a grain of salt. Professor Cha was a very kind a funny professor who clearly cared about her students. Lecture attendance was not mandatory, but for every lecture you attended you would get 0.1% extra credit on your final grade (maxing out at 10 lecture for 1% extra credit). Discussion attendance was also optional but I highly recommend going. Lectures were recorded and annotated slides were posted so I rarely went to lectures by the end of the quarter because I already knew most of the information being taught. The only aspect of coding you have to do is the R studio coding apart of the Lab grade but the TAs basically give you all the answers during discussion. My TA shared her screen and we just copied what she typed. There is also a final project that is coding based but it is very straightforward. The exams are very similar to the quizzes and practice exams she posts so they are not that difficult. The exams are also not cumulative.
The grading scheme is:
15% - takehome canvas quizzes - lowest two quizzes get dropped
20% - Labs (coding) - lowest grade gets dropped
20% - lowest of the two exams
30% - highest of the two exams
15% - final group project
1% Extra Credit - Lecture attendance

Professor Cha is a really sweet person and I liked her, but I found her lectures to be super unhelpful. I probably should’ve gone to office hours, but I never did so I can’t really say how helpful she is outside of class. I didn’t find this class super easy because I tend to struggle with math/statistics, but I still did well and I felt that she was very fair as a grader. There are homework assignments in R that you do during discussion, and these were pretty simple for me and definitely a grade booster. She also gives quizzes on canvas at the end of each week to test your understanding of lecture material, but I didn’t find the quizzes very helpful in terms of solidifying my understanding of lecture concepts. Overall, not the best at teaching, but a really nice and understanding person.

Professor Cha is definitely one of the best professors I've had at UCLA. I'm a poli sci major and this class was a pre-req and I took Stats in high school, so I had some basic knowledge; but even then, the professor and TAs were more than accommodating. The class is broken down into the following:
- Midterm + Final = 50% (whichever you scored higher on weighed 30% and the other 20%)
- Group project = 15%
- Labs (5, with lowest grade dropped) = 20%
- Quizzes (7, with two lowest graded ones dropped) = 15%
- Iclicker extra credit (if you went to 10 out of 20 lectures) = 1%
After the final exam, she said that the mean wasn't as high as she expected so she would be adding an extra 2% to everyone's final grade. Not final exam grade, but final grade, which is very significant if people did the iclicker activity too, because then they got 3% added. No coding in the lab, just the stats content you learn in class is tested.
The midterm and final are both manageable, very similar to her practice exams but she lets you bring a cheat sheet that's 15 pages double-sided (I just ended up printing my lecture notes). The exams are not cumulative so that's another plus point.
The group project is much easier if you do it with a group and the basic coding needed is stuff you pick up from the labs. It's not too hard but it definitely helps if you do it with other people.
The labs were something I was dreading but the TAs basically walk you through it and give you the code so you just have to run the same in R. My TA was also really accommodating and recorded each lab session so I would just watch those and complete the biweekly labs that way.
The quizzes were pretty straightforward and covered materials from the prior week. If you watch her lectures and pay attention to the examples given on her slides, you should be fine.
One of the most helpful things that Professor Cha provided was examples after every concept she taught us about. There would be 2-3 examples and she would work through it in class, and if you understood the steps, then you'd be fine on the quizzes and exams.
Professor Cha is incredibly sweet and accommodating and also tells you to prioritize your health over grades (genuinely loved hearing this from a professor). I would definitely take this class again!