I took this class virtually over 6 weeks in Summer Session A. Grade distribution was 20% for homework, 20% for a final project, 25% for midterm or final (whichever grade was lower), and 35% for midterm or final (whichever grade was higher). Dr. Cha's syllabus, slides, and expectations for the course were extremely clear. I still tend to reference her slides for other courses and feel like I genuinely learned a lot. The grading of assignments was very fair. The only thing of note is that our two online exams required a lockdown browser with camera and audio on your device, but Dr. Cha was very proactive in making sure we knew she was available in case of any technical difficulties.

Amazing professor who I will be trying to take for every class she teaches. She is so clear and effective in her teaching. All of her homeworks align with the material and sufficient guidance is provided for them. There is a group project that allows you to showcase your new skills and meet other students. The exams are very fair and modeled well off of the lecture material and homework assignments. Overall I would recommend this class with this professor wholeheartedly.

Grading Scheme:
20% homework (5x4% each - 1 dropped)
20% group project
35% exam (the one with the higher grade)
25% other exam (the one with the lower grade)

Maria Cha is the best professor in the Stats department. Even better than Miles Chen. She is super nice, with very clear slides, case studies, and examples(!!!).

The grading scheme: 20% HW, 20% Group Project/Presentation, 25% midterm and 35% final OR 35% midterm and 25% final.

Homework: REALLY LONG. But doable. Discussions are optional and spent giving all the HW answers. Still do the hw though since the tests are similar. HW was mostly in R but also some by hand. Although you won't be tested on coding, you will need to know the contents/meaning of output tables in R like the back of your hand.

Group project: Simple data analysis and regression of a data set. Essentially use the code from HW on this project, make pretty slides, and slap together a 6 page report. Presentation was graded on completion, and pretty much all groups got a 100% on the final report.

Tests: Averages of ~90% for both. Most people finished the final in ~25 minutes. Very little math on either tests, but instead analyzing R output, taking information from an r output table and plugging it into an equation, and analyzing/explaining different graphs.

This class has incredibly useful content if you want to get into any sort of analytics/data science field. The p value is <0.05 which means the null hypothesis that this is a hard class, can be rejected, and we accept the alternate hypothesis that this class is an easy A.

Reading through the Bible in mandarin was easier to understand than her slides (I don't speak Mandarin).

lectures can drag but you dont really need to go to succeed. Easy class overall if you do the hw and read slides but she will not round AT ALL

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!

I have the textbook for the class (like new) and am willing to sell it for a good price! You can email me via ************* if you're interested :)

Professor Cha was the best professor I had this year! She was understandable with any circumstances whether if it was personal issues or having difficulties with wifi. She will always find accommodation for her students and the best part was that we didn't need the textbook for her class. Everything is based on her slide and she annotates them very heavily but will post her work on Bruinlearn for students who are unable to attend lecture to receive her copy. She is an excellent lecturer and makes statistics very easy to learn. Her first midterm was fairly easy however the second one was pretty difficult. She gave an extra boost to people's grade because of the performance of the second midterm which was very helpful at the end of the quarter because I was able to go from a C+ to a B-. Furthermore, students were allowed have notes on the test that were up to 15 pages, front and back. There was a project that incorporates what we learned in the lecture into a coding project and a report. This was fairly easy and can be done solo or with a group of student. This class is manageable and I recommend students to have Professor Cha as their Stats 10 professor!

This class is easy to do well in if you stay on top of your work. The exams were straightforward and we got to have 15 pages of notes with us. The labs were easy if you attend section and follow along with your TA. Professor Cha is super nice and her slides are really clear.