STATS 100A

Introduction to Probability

Description: Lecture, three hours; discussion, one hour. Requisites: Mathematics 32B, 33A. Not open to students with credit for Electrical Engineering 131A or Mathematics 170A; open to graduate students. Students may receive credit for only two of following: course 100A, former course 110A, Biostatistics 100A. Probability distributions, random variables, vectors, and expectation. P/NP or letter grading.

Units: 4.0
2 of 3
Overall Rating N/A
Easiness N/A/ 5
Clarity N/A/ 5
Workload N/A/ 5
Helpfulness N/A/ 5
Overall Rating 2.1
Easiness 2.4/ 5
Clarity 2.0/ 5
Workload 2.2/ 5
Helpfulness 2.3/ 5
Most Helpful Review
Spring 2022 - Going to be blunt, and a little rude. This professor should not be teaching, isn't mentally capable to teach anymore at this point in her life. Constant typos in important graded materials to the point where it looks like it was written by a senile person. I wish I didn't buy her textbook, as I didn't use it once the entire quarter. I cant remember if it was needed to access cognella (literally a ripped off version of ccle software). Doesn't care about the wellbeing of students at all, is not consistent on assignments. The way her assignments are valued changes on a weekly basis. If i had to guess, they moved professor sanchez to online asynchronous cause the students who had to suffer her in-person classes complained to much. Frankly I dont think she should be teaching at all, and it appears like the TAs do all the grading for her anyway. After taking this class, I still feel like I have learned nothing about stats. I dont know my final grade yet but im expecting anything from a B to an A-. I would have rather taken the class in person with a competent professor but they were not available to me. I wish I had waited to take Stats 100A instead. DO NOT TAKE THIS PROFESSOR. You are not going to be the top 1% of the class who gets an A. If you think you are, then you probably value your education, which in that case DO NOT TAKE THIS PROFESSOR since you will learn nothing. I am fuming that I spent money to "learn" in this class frankly, and she should use the money she has from scamming the university and their students to just retire.
AD
Overall Rating 3.5
Easiness 3.7/ 5
Clarity 3.1/ 5
Workload 4.0/ 5
Helpfulness 3.3/ 5
Most Helpful Review
Fall 2019 - DO NOT TAKE THIS CLASS WITH PROFESSOR PAIK!!!!!!! I read all the reviews about how easy the midterms are and how this class was such a breeze but it was not! We base the entire class off his shitty book, in lecture he literally reads the same thing thats in his textbook then waits a couple seconds and thinks that by giving us those few seconds we are going to magically learn what he just read?? The class in not based on if you did the work/process correctly, it's based on if you get the correct answer which shows how lazy he is in grading the exams!!!!! The exams are all multiple choice and a lot of times theres one tiny mistake that changes everything and you get the wrong answer but no partial credit just a big fat zero. While he does let us use open book and open note, it's kinda deceiving because were on such a time crunch so going through the notes/book is a hassle and wastes a lot of time. I ran out of time on every exam. Overall I was very frustrated with this class. I've had bad professors but I've been able to teach myself the material and be successful in the course but not with this class! He did not give us the materials to succeed! He based everything off his book and slides which are basically the same thing as the book and there were very few practical practice problems. Take this class with a better professor! I chose Paik because of his past grade distributions but it backfired on me. I have multiple friends who were not successful in the course so I know I'm not alone on this post
Overall Rating 2.6
Easiness 2.8/ 5
Clarity 2.6/ 5
Workload 4.0/ 5
Helpfulness 2.9/ 5
Most Helpful Review
Fall 2025 - Wang is a nice professor, and she tries hard to explain the material to us. However, I would say that a lot of the time, it feels like we're being thrown formulas at. It might just be a stats class problem in general, but I don't feel like I understand the intuition behind the formulas. It's just a lot of information, but difficulty-wise, I wouldn't say it's too hard. As for the grading scheme, attendance for both lecture and discussion were required and worth 7% of the grade, but you can answer campuswire questions and get a few points back for the lecture(s) you missed. The midterm was worth 35%, and the final 38%. Homework 20%, we had 6 of them, and they were all pretty doable (can go to office hours if you need help!). We had 1% of extra credit (respond to the SET survey), and she also applied a pretty generous curve at the end (at least 1.5% up), so don't worry too much about your raw grades. Also, I took it in person. Our grade distributions for the midterm and final were NORMAL. Midterm median 79 (lower QT 70, upper QT 91), final median 75 (lower QT 62, upper QT 85). I believe the online class had some... strange distributions with the midterm median 87 (upper QT 95, lower QT 66, similar midterm btw), not sure about the final. I wonder why... (which means you should take it IN PERSON!!!) Overall I'd say this class was fine. Did I learn that much? Probably not. Would I take it for fun? No. But if you HAVE to take Stats 100A (ahem major req), taking it with Bingling Wang isn't a bad choice.
Overall Rating N/A
Easiness N/A/ 5
Clarity N/A/ 5
Workload N/A/ 5
Helpfulness N/A/ 5
AD
2 of 3

Adblock Detected

Bruinwalk is an entirely Daily Bruin-run service brought to you for free. We hate annoying ads just as much as you do, but they help keep our lights on. We promise to keep our ads as relevant for you as possible, so please consider disabling your ad-blocking software while using this site.

Thank you for supporting us!