TAKE ANYONE ELSE. SAVE YOURSELF AND YOUR GRADE!!! Professor Montoya was the worst professor I have ever had in my entire UCLA education! She was extremely disorganized, arrogant, ignorant, and completely rude. There is a reason her Fall 2019 grade dis isn't up and thats because 80% of the class did bad. She assigned 4 chapters of R coding before the first week which was extremely hard and look up so much like I spent like 30 hours in the first weekend trying to get it done. She does not go in detail at all during lecture about information from the book she has her own slides which don't correlate at all with the book. Its like your studying for 3 different classes to be honest. Her quizzes and exams don't correlate with lecture and textbook info so there is no way for you to study for them. She gives you an unreasonable about of time to code a question and answer it correctly during quizzes and exams about 20 questions for ~40 minutes which is not enough time at all. She also does not teach you how to code at you basically teach yourself which is extremely hard to do and the textbook is such a time waste and does't help you to code the amount of information we had to do for the quizzes, basically if you think you got the hang of the R coding in the textbook well you don't know it well enough for the quizzes or exams. She does not help during office hours you think she does but when you go back to look at the office hour notes and the notes you took in lecture they wont add up and thats because she doesn't know wtf shes talking about. For the final well she DIDN'T EVEN SHOW UP TO THE FINAL, we had another professor that also teaches 100A but he had NO IDEA what we were doing and could not help us and as for the TAs well THEY HAD NOT FUCKING CLUE WTF THEY WERE DOING!!! We had to basically teach the TAs what we were doing and they were still super vague. There was like 428 students in this class and everyone hated herI know about 30 students and complained about her to the dean of psychology because she was just that bad. LITERALLY TAKE ANYONE ELSE!!!! And for the students who took her in Fall 2019 and got a good grade and gave her a good review I'm sure they were high the whole time because this class gave me PTSD!

Used iclicker for attendance. Although the class was a bit tough for me because it was using r code for statistics, by being in a group, I feel like it definitely helped a lot. She gave a lot of opportunities to receive a higher grade on the weekly quizzes which was nice and you were able to collaborate on the retake quizzes which were online. I do think the first week or two were especially hard because she was having us cover like four chapters, but as time goes on it isn't too bad. She is also very open to feedback and took all of our opinions into consideration!

Professor Montoya really loves what she teaches and it's obvious. However, she often speeds through lecture but always takes questions. Showing up to lectures is important (if you want the extra grade boost at the end of the quarter). The TA's always have office hours which help a lot. There are long notebook chapters due every week which took me a couple of hours just to complete. After, there are quizzes for each chapter (12 questions), they are open notes but it's still a little difficult to get 12/12. I got a 12/19 on the midterm but managed to pass the class with an A- without taking the OPTIONAL final exam. There is a group project for the final which honestly is a little tedious because you have to rely on others, but I would prefer that than a mandatory final. The worst part of the course is the discussion sections every Friday. Other than that, Professor Montoya is a good professor, I do not understand the negative reviews about her.

I really liked the professor, she's very understanding, flexible, and overall nice! She is engaging in her lectures and tries her best to make statistics interesting and relevant. The class can be a bit time-consuming as you have to dedicate many hours weekly to completing the textbook homework.

Due to Covid, I think this class was made a lot more manageable than it usually is. Homework is based on completion, weekly quizzes are open note (there are no big tests), and the final is a group project. The class material is hard, but it is not difficult to pass the class!

Professor Montoya is really good at accepting feedback, which is good because this class isn't great. The way that she explains things is mainly convoluted and she honestly makes things more confusing. This class is passable though, there's no final cause there's a group project instead which is helpful. You can imagine the pros and cons with that. There's a quiz every week which are okay and two are dropped. The class is not awful awful but I would think carefully.

My class was asynchronous aside from the discussion section, so I don't know if my feedback would apply to future students. I loved how the textbook has practice problems embedded so you get both credit for homework and extra practice! However, I would read the online textbook before watching the pre-recorded lectures, and when I felt confident that I understood the book, it feels like I unlearn everything I just grasped when I watch the videos. I know a lot of work went into the videos and slides, but I chose to not watch because I don't want to end up second-guessing myself.

Also, I like how we can retake quizzes to earn some points. But you do not know what you get right or wrong, so I second-guess myself and feel like I am not actually learning anything and it makes me feel less motivated to look back or even study. She claims that this is an effective learning strategy backed up by research. I could be wrong, but doesn't immediate feedback actually help learning?

This class was pretty easy for me given that I took AP stats in HS. If you haven't taken stats, I still think that prof. Montoya gives a really thorough intro to stats and connects the ideas well so that even if you know nothing about stats you can understand the material. it's really important to do the homework, which can be a lot of work per week, and start it ahead of time. I'd recommend splitting the homework between 2-3 sessions per week so that you're not doing psych homework for like 7 hours straight. The lectures were recorded video modules which was really good for me personally, and you can make up the discussion sections by filling out the weekly discussion worksheet on your own. The quizzes were also super easy, one quiz a week and it's basically what was on the homework. this prof also allows for a lot of leniency (ex. dropping lowest quiz grades, a lot of EC opportunities, etc). Lectures were very engaging with lots of relevant images. I only rank it lower on workload and easiness b/c the subject matter can be difficult if you haven't done stats before and the homework is quite time-consuming.

For Professor Montoya's first time teaching this course and also my first time taking statistics, it was a great class. We used Canvas and learned how to code using R. You can tell that Professor Montoya cared about our learning as her lectures went deeper into the readings we did from Canvas. The quizzes were kind of tricky because they included some coding in it and was also a little nit picky with questions that came from our readings in Canvas but it was overall fair since the lowest quiz is dropped. The midterm was the same as our quizzes but just accumulated, same goes for the final. The grade breakdown was: HW=20%, In class activities=15%, Quizzes=20%, midterm=20%, final=25%.

I hated this class. Nothing made sense no matter how hard I tried. I had to get a tutor to help me understand this class, and even then, I had no idea what was going on...neither did my tutor. Why did we have to learn R? I have no idea. If you can take this class with ANYONE else, just do it. Even if you have to wait another quarter. I must say however, Professor Montoya did hear us out and understood that the majority of her students were REALLY struggling which is why she curved the class up so extremely. This class in general is painful, but having a professor that can explain the content is essential.

Textbook and homework on Canvas. PollEverywhere for in class participation like clicker. No need to install R Studio separately (use R sandbox)
Quizzes, midterm, and final are taken on a computer. Some quiz questions can be tricky. Most questions on the final were from previous quizzes, midterm, and homework problems.
Coding wasn't too difficult for a person with 0 coding experience (it can help to create your own cheatsheet on a word doc on how to generate certain outputs and graphs). 1 sided cheat sheet is allowed for all quizzes, midterm, and final (can be helpful but not necessary if you know the concepts well). R code cheatsheet is provided (but you might want some R code on your own 1 sided cheatsheet).
Statistics concepts weren't difficult to understand (but took Stats 13 before this class).
Lecture can be dry. No separate discussion section.