This class consists of regular homework, quizzes, labs, a midterm and a final. Professor Kim is very understanding and always willing to help students succeed. To review for exams, utilize the practice problems he gives and the practice midterm. They are very helpful. He also allows a cheat sheet during exams, so make sure to make use of it. The lectures are podcasted and attendance is not required. Extra credit was given for taking complete notes of lectures. Professor Kim is super sweet and often funny in lectures.

I think professor Kim was a engaging lecturer, he was often funny. For transparency I got a 12/20 on the first midterm and for the final I received a 20/25, I would do all the homework and get perfect scores (labs as well.) you also get 5% extra credit for writing down all lectures and I thought it was too much writing so I didnt do some. However I ended up passing the class with a B. I HIGHLY RECOMMEND DOING THE SHEET OF NOTES THAT HE ALLOWS IN THE EXAM. I think that is honestly what saved me, I mostly put practice problems that were given in the homework and I also referenced the practice final exam that he gave and I did pretty well on my final exam due to that. Although I liked Kim as a lecturer I absolutely despised stats content. Hope that helps and good luck !

Summary: TAKE STATS 13 WITH PROF KIM!!! I CANNOT STRESS THIS ENOUGH! HE IS PHENOMENAL AND YOU REALLY DON'T NEED TO STRESS ABOUT YOUR GRADE IN THIS CLASS!

Lectures: Professor Kim is as engaging and fun as learning stats or math can get! He is very funny and likes to make little jokes and comments. Lecture attendance is not mandatory but Bruincast is not the best quality where you can't really clearly see the symbols on the board. He also goes through a lot of theoretical stuff and goes through the reasoning why we use certain formulas but they aren't really important in exams. I have never had a stats class before but I definitely loved it! Lectures moved very fast and can sometimes get confusing but you can definitely rewatch the lecture and stay on top of it.

Homework: Homework was only 3-5 problems depending on the unit and only took 30 minutes to 1 hour. He provides a lot of supplemental practice problems in addition to homework so if you just follow the steps in the supplemental practice problems you are guaranteed to get a 100% most of the time. We had homework due at the end of the week for most of the week. He even canceled one of our homework assignments.

Labs: EXTREMELY EASY! It is different from LS30A/B and if you had prior coding experience, it should be very easy but different. The lab manual and TA's basically handed you the code so it was never a stress for me. Just ask for help!

Midterm: The one midterm was only 20 questions of multiple choice. It was a mix of both calculations and conceptual questions on why we use a certain statistical test, why we use a certain technique, etc. The midterm was very easy! However, beware of his test answer options! His questions have a lot of "none of the above" or "all of the above" options and often times those were the right answer because of a small detail! READ EACH QUESTION AND ANSWER CHOICE CAREFULLY AND DOUBLE/TRIPLE CHECK YOUR WORK! However, the midterm is literally the same difficulty or sometimes even easier than the homework, practice problems, and practice exams. He also gave us a sheet of notes front and back.

Final: Same as the final just longer but only should be taking you a hour and a half max. It only tests on the material after the midterm but a lot of the concepts build on top of each other anyways. The amount of statistical tests you learn by the end and can get tested on is overwhelming but he did a review session during lecture and summarized all of them for you. You have your sheet of notes and I highly recommend writing down the different tests and their properties, etc. Make sure to check your work!!!!

Extra Credit: He gave us the opportunity to get 5% extra credit added to our overall course percentage which is EXTREMELY GENEROUS! All you had to do was write/type clear lecture notes and submit them. You can make them fancy or you can just submit sectioned bullet points with all of diagrams, formulas, etc. He gives you a whole week from the lecture to turn it in so you can turn it in at your own pace.

This class was the least of my worries and actually made me love statistics even as a person who doesn't really like math!

*Class Percentages*
20% Homework (lowest dropped)
20% Online Quizzes (lowest dropped)
15% Labs
20% Midterm
25% Final Exam
5% Extra Credit (from lecture notes)

*Professor*
I have nothing but positive things to say about Prof. Kim!! He is so organized from his lecture notes format to the way he organizes his Canvas classroom. He is a very kind, understanding, and funny professor. Even tho the actual subject is pretty boring and feels repetitive, Prof. Kim makes stats actually enjoyable with his jokes throughout the class, but he never gets too sidetracked and doesn’t waste the class’ time. You can tell he is super passionate about the subject. Stats gets VERY confusing towards the end of the quarter because you end up learning many different statistical tests that seem very similar, but have different purposes, but Prof. Kim had a review session before the final in which he outlined ALLLLLL the differences. This review session literally saved me on the final since he allows a page of notes on the midterm and final. He also responds to emails in a very timely manner and is very clear and direct with his responses. Even when there was a TA strike, he took over and held his own discussion sections and responded to all student emails that would have been directed at the TAs. He also added extra office hours. He handled the strike situation very very well!! Overall, incredible professor, especially for his first quarter teaching!! It honestly felt like he was a very seasoned teacher judging by how prepared and confident he was at every lecture.

*Homework*
Homework was pretty fair and usually took around an hour. It’s super easy at first, but then progressively becomes more challenging. It’s graded on accuracy, but again, it’s pretty fair and the lowest is dropped. Homework is assigned on a weekly basis.

*Online Quizzes*
These also start off super easy but then as the course progresses, the quizzes definitely became more difficult and kinda challenging (especially the theory ones). They were sometimes based on solving stats problems and sometimes based on “theory” taught in lecture. It’s five multiple choice/sometimes fill in the blank or select all and you get one hour so it’s not the worst thing ever and they’re manageable. These are also assigned on a weekly basis and lowest is dropped.

*Labs/Discussion*
These use a different language (R) not CoCalc from LS30A/LS30B. I thought R was a lot easier and more intuitive to use than CoCalc tbh. The labs are easier than LS30 series, but still were painful at times. We got kind of lucky because one of the TAs recorded his section where he guided us very clearly on the code so it was also manageable. Again, this is another fair component of the class–nothing is too difficult but it wasn’t super easy. Discussion is basically just where we do the labs and attendance is optional so I ended up skipping all of them and doing the labs on my own time. My TA never went over homework during section, but I heard one of them did.

*Midterm*
There’s one midterm (I think around either end of Week 5 or beginning of Week 6) that takes place in-person during the class lecture. It’s 20 multiple choice so it’s definitely doable during a 75 minute lecture. Prof. Kim lets you use a single page of notes (front and back) and he gives you a practice exam that is EXTREMELY similar to the actual midterm so this exam it’s honestly more than fair. You are allowed a basic calculator (not a TI-84 or other graphing calculator), but you really don’t need it because he uses pretty small numbers that you could calculate by hand if you did forget your calculator. It felt pretty easy but I think it’s because Prof. Kim prepares you very well and doesn’t write outlandish questions–he specifically stated that he writes his exam to be fair and he definitely does. If I remember correctly the average/median/mode was also pretty high. Just study the practice midterm and review your notes/homework and you should be okay! There was also no coding on our midterm.

*Final Exam*
Very similar comments to the midterm: very fair, one page of notes, calculator, etc. The only difference is it 25 MC and takes place during finals week so there’s 3 hours instead of just 75 minutes, but you really need only an hour max. The final only tests the content after the midterm too (but there are concepts that carry over from the beginning of the class–they’re just not directly tested). He gives a practice final that is also VERY similar!!! Study that and you should honestly be fine, but just be very careful about wording bc in stats you will learn that there are SPECIFIC ways you have to phrase certain things. Prof. Kim makes this very clear during lectures so make sure to take note of these specific wordings!! The final honestly felt so fair and pretty easy thanks to him. Also go to the review sessions before!

*Extra Credit Notes*
You literally get extra credit for writing what he writes on the board! Super easy points.

*Overall*
Literally just take the class with Prof. Kim–do not hesitate and you will not regret this at all! Amazing class and professor!

Easiest class I have even taken. The first half of the quarter is basically the same with ap stats, and the second half consists of different hypothesis tests that are really similar to the ones in the first half. The test is in the form of multiple choice. While the wording is sometimes tricky, the content and format is exactly the same as practice. No attendance required for lectures and discussion, and they both have recordings. So, I definitely recommend it, and I wish all of my stem classes can be as easy as stats 13.

I honestly loved this class it was super manageable, and prof kim is super understanding. The homeworks were really easy and were a good grade booster because for each homework assignment he gives a practice one with answers and basically the same questions just different numbers if that makes sense. So you just look at the practice one and youll get a 100%. Exams were basically like the practice ones so mainly study those and the previous homework problems. Lab was also really easy and the TA's basically spoon feed the answers to the coding labs. I would def take this class with Prof Kim!!

Kim is pretty funny, but the lectures are pretty long and he doesn't have any lecture slides or anything. He basically writes on the chalkboard the entire time while talking very theoretically about stats which made it kind of hard to focus. Lecture and discussions are recorded and non mandatory which is amazing. Labs are gone through in the recorded discussions as well so pretty easy to get 100% on those... only thing was that I turned in Lab 1 in the wrong format and he has a policy of not allowing any late work or resubmissions no matter the scenario. So I got a 0 from Lab 1, however he does give 5% extra credit so it evened out. He gives practice homework and practice exams before all the homework and tests are due, which are very similar to the actual tests and homework.

One of the best classes at UCLA. Definitely easy to get an A but I heavily relied on my note sheet for exams. I got 100% on homework and labs. For those assignments I often collaborated and checked answers with people on GroupMe. The workload was manageable. He is also so so so funny!!!

Professor Kim is a great choice for Stats 13! He is extremely clear and methodical with his expectations, and the class is structured in a manageable and straightforward manner. Professor Kim is helpful, answering questions during/after lecture and during office hours, and keeps the class engaged in lecture by asking us questions or making funny jokes.
This class consists of weekly homework, one midterm exam, one final exam, and labs (4 labs in whole quarter, so approximately due biweekly).
Grading Scheme:
Homework: 30% (Lowest HW Dropped), Labs 20%, Midterm 25%, Final 30%.
Therefore, this class is out of 105%, but the A cutoff is still a 92%, so you can think of it as 5% free extra credit. Therefore, Stats 13 with Professor Kim was quite easy to be successful in because the grading scheme was extremely generous.
Homeworks: Weekly homework assignments that would take 30-45 minutes. He provides a "practice homework" with solutions for each week's homework that is basically identical to the real homework, just with different numbers. Therefore, the homework is a very easy 30% of the grade. It is graded on accuracy, though, but with generous partial credit. Just refer to the practice homework and it's smooth.
Labs: The labs are programming in R. They are much easier than the LS 30A/B programming, and a lot of it is done in discussion section with the help of the TA. There were 4 labs this whole quarter.
Midterm: 20 question MCQ exam on a Scantron, in lecture Week 6.
Final: 25 question MCQ exam on a Scantron.
Although both exams were entirely multiple choice, they were still tricky because a lot of the questions are conceptual in nature and the wording/phrasing of the question and answer choices are extremely crucial. Additionally, every question had a "None of the Above" option, so process of elimination was unfortunately not a cop out. Regardless, the practice midterm and practice final provided by Dr. Kim beforehand are extremely representative of the problem types you will see on the real exams. In fact, a few questions were almost identical, just with slightly different numbers or answer choices. Additionally, one page handwritten cheat sheet was allowed for each exam, which was extremely helpful, because especially by the time of the final exam, there are a wide range of statistical tests and different contexts/situations in which to use them. Having it all written out on the cheat sheet greatly alleviates the stress of having to memorize the conditions/requirements/use cases of the 10+ statistical tests we learn by the end of the quarter.
Overall, this class was quite simple and intuitive. Professor Kim was clear and explained the concepts really well in lecture, so there was no scope for misunderstanding on the homeworks and exams. I would highly recommend Professor Kim for Stats 13!

Professor Kim is an AMAZING professor!!! I will literally always recommend him to anyone taking stats 13 in the future. I can tell he truly cares for his students and their ability to learn as well as their overall success in the course. He is probably one of the best STEM professors at UCLA who is genuine and has passion for his work and doesn't disregard that some students learn differently than others. He isn't at all like other STEM professors who could care less about the students success and only about teaching the class and doing research. The class exams were very fair and related to the material learned in the course. He provides resources, such as practice problems and multiple examples to ensure the success of his student's learning. He is also often funny and really approachable. I came into this class with not a very strong background in statistics and I'm telling you, I not only learned statistics, but UNDERSTOOD statistics through him. For clarity, I received an 11/20 on his midterm and went to talk to him during office hours to discuss how I could still ensure my success in his class and he was so understanding, validating and willing to work with me. literally a 10/10 professor. I can tell he's genuinely a good person outside of teaching. I normally don't care to write evaluations but I was literally so excited to write this review and talk about how good of a professor he is lol. That should tell you something!