less intensive coding than previous coding; spent 3-4 hours/week on homework (because I attended LA sessions!) and stayed maybe 20 minutes after my labs ended to finish things up.

- simulation based approach to statistics
- very engaging professor -- I've never seen a lecture hall with such great attendance or such an animated, passionate professor and TA/LA team!

- homework, labs, participation, and extra credit make up big chunks of your grade
- midterm and final were writing-heavy, provided practice materials were very representative
- data analysis project after final exam

- the class was amazing (even though cocalc sometimes bugged out on us) and there's a real sense of 'we're in this together' in this class. It's much more interesting than, say, AP Stats, and also much more applicable today. Traditional stats classes like stats 13 cover how we did statistics like 100 years ago, but now that we have technology and computers and can run simulations, we can change the way we do statistics for the better.

- I'd say no matter who you are, just take this class. Besides the time-consuming homework (that you should attend PSS for help with), this class is very easy for how much you learn and everyone I know loved it. There is so much support from the instructional team and TA's/LA's and lots and lots of practice material for exams that are super duper representative. My only regret is that I didn't read the textbook more -- the way it's written is so funny and engaging!

- one more thing, cocalc is like 17 bucks and the textbook is free, have fun and enroll!

I took this class because stats 13 was completely full, and I had heard terrible things so I was not excited. However, this was one of the most engaging classes I have taken, and definitely the best statistics class offered at UCLA. Professor Garfinkel is funny, his lectures are easy to follow along and actually pay attention to, and the class itself is not difficult if you put in the effort. There is a decent amount of coding but it is super manageable with the help of TAs and LAs (who are all great). Overall I would definitely recommend, especially because the material is much more relevant than any other statistics class you could take.

I loved the TAs, LAs, and Professor in this class. Extremely interesting content, everything condensed manageable. Very practical, it's the diamond at the end of the LS30 Math Series, would make the effort to take this class, yes, Stats 13 is easy. But the skills and learned concepts learned from this class and Professor are well worth the time put in. Love Garfinkel as well.

Alrighty, so basically, if you take this class, you can get an A. However, that’s also true for Stats 13, where the workload is wayyy lighter. My main problem with LS40 is the homework, which is almost entirely coding. It unlocks Tuesday night, and you have until Friday at 10 PM to submit it. This seems reasonable until you factor in your other commitments and the fact that the homework takes half a century to complete. I spent at least 12 hours a week coding, and it was beyond brutal. Content wise, the class is interesting, easy to understand, and actually applicable.

So, the class is easy but also I wish I had taken Stats 13. In hindsight, this class wasn’t that bad, but I complained every single day about LS40 and told everyone how much I hated this class. It was beyond frustrating, and the content isn’t even hard. Like, the content and lectures were totally easy. My only issue with this class is the homework and the countless hours I spent on the stupid, soul-sucking coding.

As a professor, Garfinkel is engaging and an amusing guy. The TAs are helpful, and the LA review sessions were actually super duper helpful. The content you learn can definitely be applied down the road, but I don’t think the workload is worth it unless you’re taking a light schedule and want to learn something applicable. If you want to get your stats credit without losing your marbles, take Stats 13.

As a survivor of the LS30 series, I DID NOT want to take LS40 but heard amazing reviews from many students and gave it the chance. This class is so much more interesting and rewarding. I previously hated coding because of LS30 but this class made it SO MUCH more enjoyable, and Professor Garfinkel actually discussed the coding during class. The material we covered was relevant and applicable to the medical field, and we also delved into why some form of modern statistics are inaccurate. Garfinkel is by far, the best professor I've had at UCLA. He's engaging, funny, passionate, and actually cares about students and the class. I'm ngl, homework was lengthy and would take me around 2-4 hours and it is graded on completion (but that's the only workload I had from the class). If you go to OH or refer to campus wire, you should be fine. But it srsly helped for the midterm and final. Exams were some of the easiest I've ever taken at UCLA because we reviewed so much and they were similar to the practice exams they give out. Also bless up that they let us use a notecard for the final exam. There's also a data analysis project that I was scared about when it was assigned at the end of the quarter, but it's pretty light as it is based on the labs and homework you've done. Only downside is it's assigned during finals so make sure not to fall behind. Highly recommend this class if you're willing to put in the time and even if you disliked the 30 series.

Honestly there is absolutely no reason not to take this class. The midterm and final are content based and as long as you go to or watch most of the lectures there is no reason you won't do well on exams. The labs are very straight forward and only based on completions (and the TAs and LAs will hold your hand through any lab you find confusing). Homework is graded on accuracy, but as long as you understand the labs it is a breeze and you can always use campuswire to help. I nervous for the data analysis assignment since it is no longer a group assignment, but as long as you got the correct code from your TA/LA during labs throughout the quarter you will have zero issues with the coding aspects plus the conceptual/interpretation aspects are really straight forward if you got the content from the lectures. You also learn some coding that has more real life implications compared to LS30A/B. Overall if you have the option to take this class I would take it 10/10 times ESPECIALLY if you get Garfinkel, he really is the best!!

I’ll try to talk about the main stuff:
- ended with a 95%
- he records his lectures and participation is counted
- midterm and final very similar to practice exams and past exams so recommend studying those as well as the PSS worksheets they have questions from past exams so good for seeing the type of questions he might ask
- I’ve never coded in my life before so I was intimidated at first. You aren’t really going to be doing any type of math you just code. That said it’s doable to take this class with zero coding experience. Just pay attention in lab and utilize the LAs and your labmates.
- the prof. is very passionate about teaching and is very nice and engaging
- Homework can be difficult since little points get taken off here and there. But once you figure out what you keep losing points for it’s very easy to get As on the homework. For me I kept losing points for the written portion explaining my results and data because I was missing info or just wasn’t explaining it correctly. Highly recommend reading the feedback given on gradescope on what you did wrong and look at the homework answer keys.
- The midterm and final (you get a notecard cheat sheet for the final) are fair and reflect well what you learn in class and lab
- You’ll have a data analysis assignment towards the end of the quarter and it’s essentially free points. You just do a mega assignment encompassing some of the stuff we learned in lab and homework. It’s pretty much the homework and as long as you reference the homework answer keys and your labs you’ll pretty much get full points for the assignment.

This is by far my favorite class at UCLA and I would recommend this class over stats 13. Professor Garfinkel is amazing and is very passionate about statistics. His lectures are super engaging and I feel prepared to work in a lab because of this class!

Garfinkel is the GOAT! I went into this course just trying to get my statistics lower div finished, but his lectures are some of the best I've ever had and he makes statistics incredibly interesting, engaging, and applicable to your own education. Highly highly recommend this class, but especially this professor. The workload could get heavy at points, but if you are coming directly from LS30A or 30B you will honestly be fine since the coding syntax will be fresh in your head.

I really liked him as a professor, he was funny and engaging and he has a really interesting perspective of statistics and STEM in general, the class was easy, homework was graded harshly and that is what tanks your grade, for tests your descriptions of things need to be written very detailed, but overall this class wasn't my biggest stressor, easy concepts and little need to memorize equations (only like 2)