STATS 101B
Introduction to Design and Analysis of Experiment
Description: Lecture, three hours; discussion, one hour. Enforced requisite: course 101A. Fundamentals of collecting data, including components of experiments, randomization and blocking, completely randomized design and ANOVA, multiple comparisons, power and sample size, and block designs. P/NP or letter grading.
Units: 4.0
Units: 4.0
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Most Helpful Review
Spring 2019 - Professor AA is very nice and helpful. He indeed cares about students . However, his class is not clear at all, and the structure is really not organized. His Power Point are kinda messy as well. His homework is doable. The project is a good way to apply the skills we learned in the class. But we have to manually collect data which took a very very long time. Professor AA is indeed a good person and helpful outside class, but I don't recommend his class.
Spring 2019 - Professor AA is very nice and helpful. He indeed cares about students . However, his class is not clear at all, and the structure is really not organized. His Power Point are kinda messy as well. His homework is doable. The project is a good way to apply the skills we learned in the class. But we have to manually collect data which took a very very long time. Professor AA is indeed a good person and helpful outside class, but I don't recommend his class.
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Most Helpful Review
I really have no idea why the evaluations for her 101B course are so bad. The class wasn't bad at all and she's a very nice person in general. She's very willing to help students and cares a lot about everyone's progress. I guess some people might find the lectures useless, but for me, going to lecture was enough to get an A- with very little extra studying. Even when I missed 1 lecture, I found the notes to be pretty clear. The grading is actually fairly generous, so there's no need to sweat about your grade too much. It's not exactly a massive curve, but the class isn't nearly hard enough to warrant one. Overall, Mahtash is a pretty good teacher, and she has a motherly "aura" around her too (someone else mentioned something along these lines too). As for the class, Stats 101B isn't that hard, only slightly harder than 101A if anything. This can't even come close to the grueling 100ABC series. Would definitely recommend taking this class with her! If you do at least decent, you'll get a good grade.
I really have no idea why the evaluations for her 101B course are so bad. The class wasn't bad at all and she's a very nice person in general. She's very willing to help students and cares a lot about everyone's progress. I guess some people might find the lectures useless, but for me, going to lecture was enough to get an A- with very little extra studying. Even when I missed 1 lecture, I found the notes to be pretty clear. The grading is actually fairly generous, so there's no need to sweat about your grade too much. It's not exactly a massive curve, but the class isn't nearly hard enough to warrant one. Overall, Mahtash is a pretty good teacher, and she has a motherly "aura" around her too (someone else mentioned something along these lines too). As for the class, Stats 101B isn't that hard, only slightly harder than 101A if anything. This can't even come close to the grueling 100ABC series. Would definitely recommend taking this class with her! If you do at least decent, you'll get a good grade.
Most Helpful Review
Spring 2020 - I am very grateful to have had Professor Shi for Stats 101B. She is very kind and always willing to answer questions at the end of every lecture. She also made accommodations for the class because of the ongoing protests and coronavirus pandemic by offering multiple lenient grading schemes, so you'd pass the class with a P (or C at worst), unless you absolutely bombed the homework assignments and midterm. This was also her first quarter at UCLA as a professor, so hopefully the stats department retains her. The workload of this class is very manageable. There were 6 homework assignments (the one with the lowest score is dropped) and none of them were more than 3-4 problems. They were very similar to the examples in lecture slides and as long as you followed her code examples you'd be fine. The midterm was fair, but you just had to be very careful with the wording of the questions. The final was similar in difficulty too. Both exams were primarily multiple choice and some fill-in-the-blank questions. If you took 100B and/or 100C, most of the beginning topics will mostly be review since you start out with basic ANOVA and hypothesis tests. However, the second half of the course can be kind of overwhelming at times when you're dealing with multiple factors and all the interaction effects. Overall, I would recommend taking this class with her! I'm not sure how the in-person version of this class will be but it is worth taking if she's teaching.
Spring 2020 - I am very grateful to have had Professor Shi for Stats 101B. She is very kind and always willing to answer questions at the end of every lecture. She also made accommodations for the class because of the ongoing protests and coronavirus pandemic by offering multiple lenient grading schemes, so you'd pass the class with a P (or C at worst), unless you absolutely bombed the homework assignments and midterm. This was also her first quarter at UCLA as a professor, so hopefully the stats department retains her. The workload of this class is very manageable. There were 6 homework assignments (the one with the lowest score is dropped) and none of them were more than 3-4 problems. They were very similar to the examples in lecture slides and as long as you followed her code examples you'd be fine. The midterm was fair, but you just had to be very careful with the wording of the questions. The final was similar in difficulty too. Both exams were primarily multiple choice and some fill-in-the-blank questions. If you took 100B and/or 100C, most of the beginning topics will mostly be review since you start out with basic ANOVA and hypothesis tests. However, the second half of the course can be kind of overwhelming at times when you're dealing with multiple factors and all the interaction effects. Overall, I would recommend taking this class with her! I'm not sure how the in-person version of this class will be but it is worth taking if she's teaching.
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