This was Prof. Montoya's first time teaching so I understood that there would be a learning curve. Even though there were mistakes on the slides and on the quizzes/midterms, she was still a very sweet professor. Someone else mentioned that it was like a student teaching other students and I definitely feel that that was true, she could be a bit awkward at times. I still think she was a pleasant lecturer who clearly knows a lot about stats, just didn't always teach it perfectly. I did progressively worse and worse on the quizzes, my lowest being a 75% and an 80% on the midterm (lowest quiz is dropped thankfully), but the final absolutely saved me. The questions were basically copied and pasted from the past quizzes/midterm and I studied those so much that I ended up acing it, plus she offered one EC point for completing the course evals. So, I would say don't be discouraged, do all of the online homework (which is only graded on completion), take good notes on the online textbook, do all of the in-class participation points with Poll Everywhere (you don't even have to be in the physical class room to get the credit), and the super simple EC assignment and you'll be fine. I think she'll only get better as she teaches more.

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%.

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.

Psych 100A really isn't that bad of a class, you have weekly online reading with some embedded questions that you just have to do for completion. There are quizzes at the end of the weekly reading that will help prepare you for the in class quizzes. Montoya allows cheat sheets on all of her exams and I recommend making them and copying stuff word for word from the readings. Montoya also offers one extra credit assignment if you need it. Lowest quiz is dropped. I recommend the course with Montoya, I didn't go to class much and still got an A, you have to go to lab on quiz days but not on the other days. Some other professors don't do class participation like Montoya, but it didn't negatively affect my grade.