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Based on 86 Users
TOP TAGS
- Uses Slides
- Appropriately Priced Materials
- Would Take Again
- Tolerates Tardiness
Grade distributions are collected using data from the UCLA Registrar’s Office.
Grade distributions are collected using data from the UCLA Registrar’s Office.
Grade distributions are collected using data from the UCLA Registrar’s Office.
Grade distributions are collected using data from the UCLA Registrar’s Office.
Grade distributions are collected using data from the UCLA Registrar’s Office.
Grade distributions are collected using data from the UCLA Registrar’s Office.
Grade distributions are collected using data from the UCLA Registrar’s Office.
Grade distributions are collected using data from the UCLA Registrar’s Office.
Grade distributions are collected using data from the UCLA Registrar’s Office.
Grade distributions are collected using data from the UCLA Registrar’s Office.
Grade distributions are collected using data from the UCLA Registrar’s Office.
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AD
As someone who didn't take AP Stats in high school and had very basic knowledge of stats coming in, this class was fairly easy. Lectures were recorded, there are two check-up assignments per week, and labs were free points as long as you follow the TA's instructions. Professor Cha goes through examples in class, which are helpful for the quizzes and exams. She also gives out a practice midterm and final, which are a good reflection of the actual exams. Overall, Professor Cha is great lecturer and explains topics very clearly. If you don't understand anything, I highly recommend going to office hours because she is more than happy to explain topics that you don't understand! Side note: always read the problems carefully and understand what is being asked of you.
I would highly recommend this class, even for those who aren't very interested in statistics. Professor Cha is so kind! She made it clear from the very beginning that no grade was more important than our mental health and she even gave us candy on Valentine's Day.
I haven't taken any classes about stats before (not even in high school) and I was still able to understand the material really quickly. Going to lecture was super helpful, especially since you get extra credit for doing the clicker questions, but just the slides on their own were clear enough if you wanted to review/learn the content. Tbh I wasn't really on top of things after taking the midterm, but I still managed to cram 5 weeks worth of content in 2 days by just reading the slides, going through example problems, doing the provided practice exam, and re-watching certain clips from lectures. I'm sure it would've been a breeze for anyone who managed their time better than I did.
Workload was very manageable. It was just a lab every other week (which the TAs basically walk you through during discussion), weekly quizzes (no time limit, open note), a project (not much work at all if you worked with a group), and 1 midterm and 1 final (taken online on Respondus, but you were allowed a 15-page cheat sheet).
Basically, if you can get a spot in this class you should definitely take it!
Class is super easy. Midterm/Final are 20%/30%, lowest score becomes the 20%. "Quizzes" are untimed and easy enough, 15%. Labs are perhaps the most unnecessary things at this school. Focuses on using R to do statistics stuff, you can get by by copying exactly what your TA shows you. No coding knowledge is required. Shoutout Luciano Vinas for being the homie, dude made it so easy to do labs and graded quite easy. There's a group project at the end of the year, thing takes maybe 2 hours to grind out by yourself, there is no real need for a group. 15% of your grade.
Take this class with professor Cha if you can!! she is really sweet and amazing and you can tell she actually really cares for her students. Her lectures are really engaging and she goes at a good speed but she can talk kind of quiet so make sure to pay attention. The class consisted of a midterm and final, 6 quizzes, 5 labs, and a final project. The quizzes weren't too bad as long as you paid attention in class and sometimes some of the questions for the quiz were used as clicker questions during lectures. The labs were also pretty easy and don't be scared because of the coding because the TAs basically walk you through it and give you the answers. The midterm and final wasn't too bad because it's mostly similar to the quizzes but do make sure that you know the content because some questions can be tricky. Also, the midterm and final for W22 were online and the professor used respondus lockdown browser with camera on to proctor the test but don't worry because despite this she made it open note so as long as you have good notes then you will be fine. The final project was also not too bad since you use the coding you learned from labs to help you answer a research question you come up with based on the data set she gives you and you just write a report at the end based on your findings. Also, for the project you can work alone or in a group of up to 7 people so if you do it in a group the project becomes super manageable and easy and can be done in a day.
Here is the class breakdown for what goes towards your grade:
Quizzes: 15% (6 total - lowest dropped)
Labs: 20% (5 total - lowest dropped)
Exams: 50% (midterm 20% and final 30% or midterm 30% and final 20% depending on which exams you did better on)
Final Project: 15% (2 project check ups graded on completion 3%, final lab report and R code 12%)
Extra credit: up to 1% (iclicker questions for participation give you 0.1% for each lecture. answer iclicker questions in 10 lectures to get full 1% extra credit) (yes you will have to pay for iclicker to get these points)
Also on a final note, this class does have an optional textbook (which can be found online for free) but it is definitely not needed or required since you will only be tested on things from lecture.
Overall, TAKE THIS CLASS!!! you won't regret it!
This class is definitely one of the easiest GEs out there! Professor Cha is also very sweet and accommodating since she continued to record lectures for us if we were not able to attend in-person lectures. The assignments of this class consisted of six weekly quizzes, a lab due every two weeks, and a final project. The quizzes were very easy and could easily be done as long as you pay attention to lectures. Also, do not be scared of coding for the labs since the TAs will basically walk you through the entire thing and give you the answers. The final project basically involved things we had used in labs, so it was not hard at all either. Also, you can go solo or be in a group of up to 7 for the project.
For the exams, just like the quizzes, as long as you pay attention to the lectures and take good notes then you should be good. Definitely take this class if you can!
By design, STATS 10 is very easy, as no previous knowledge of statistics is assumed. The first half of this course, leading up to the [only] midterm, covers almost exclusively content that would be learned in a typical middle school or high school math curriculum such as mean, standard deviation, IQR, etc. The second half was focused on hypothesis testing but was still quite basic. Both the midterm and final were open-note multiple choice tests of about 40 questions each, and all you really needed to achieve a perfect score was applying formulae correctly. This class had no homework other than labs, which were essentially a basic introduction to R programming; the TA's would go over the answers during discussion, so it was all free points.
I would definitely recommend this class as an easy science GE even if it's not a major requirement.
Easy GE relative to most other math/stats classes, but it still requires some work and note-taking to succeed. The tests are easy -- online, 2 hours which is generous, multiple choice, and 15 pages of cheat sheets! Also, the final project takes only a few hours. Be careful on the labs though, they require programming in R which may be challenging for those without any coding background.
I am not a STEM person and struggle with anything having to do with numbers, but Professor Cha's lectures are so clear and easy to follow that I was able to understand all of the material.
The class has six quizzes, six labs (which are basically fully completed during the lab portion of the class), a midterm, a final, and a final exam.
She bruincasts every lecture and uploads the slides, which I recommend referring to when studying for the exams.
This is a very easy stats class so I recommend it if it is a requirement for your major.
I was nervous about taking Stats 10 since I had never done stats before but it was totally easy for someone who was not super STEM focused. There is no homework which is great. Cha gives us access to a textbook but it’s just for practice if you need extra help. While I caught onto the concepts easily I struggled to connect the lecture with the lab, as the TA clearly did not know what had gone on in the lecture. Coding was difficult to pick up, but as long as you go to section you will get good grades on all the labs, because the TAs truly give you all the code. That being said, the labs make up a chunk of your grade, as do a final, midterm and a project. The final and midterm were not that difficult as they were open note (you could use 15 pages front and back of notes during the exam) but definitely worth studying for. The practice exams help a ton. The project was daunting at first but was very manageable and easy to do by using the examples from the lab and section. Plus, Cha gave .1% of extra credit for every class you attend by tracking iClicker participation. Cha was understanding and caring, and taught at a good pace. You should not be worried about taking this class!!
As someone who didn't take AP Stats in high school and had very basic knowledge of stats coming in, this class was fairly easy. Lectures were recorded, there are two check-up assignments per week, and labs were free points as long as you follow the TA's instructions. Professor Cha goes through examples in class, which are helpful for the quizzes and exams. She also gives out a practice midterm and final, which are a good reflection of the actual exams. Overall, Professor Cha is great lecturer and explains topics very clearly. If you don't understand anything, I highly recommend going to office hours because she is more than happy to explain topics that you don't understand! Side note: always read the problems carefully and understand what is being asked of you.
I would highly recommend this class, even for those who aren't very interested in statistics. Professor Cha is so kind! She made it clear from the very beginning that no grade was more important than our mental health and she even gave us candy on Valentine's Day.
I haven't taken any classes about stats before (not even in high school) and I was still able to understand the material really quickly. Going to lecture was super helpful, especially since you get extra credit for doing the clicker questions, but just the slides on their own were clear enough if you wanted to review/learn the content. Tbh I wasn't really on top of things after taking the midterm, but I still managed to cram 5 weeks worth of content in 2 days by just reading the slides, going through example problems, doing the provided practice exam, and re-watching certain clips from lectures. I'm sure it would've been a breeze for anyone who managed their time better than I did.
Workload was very manageable. It was just a lab every other week (which the TAs basically walk you through during discussion), weekly quizzes (no time limit, open note), a project (not much work at all if you worked with a group), and 1 midterm and 1 final (taken online on Respondus, but you were allowed a 15-page cheat sheet).
Basically, if you can get a spot in this class you should definitely take it!
Class is super easy. Midterm/Final are 20%/30%, lowest score becomes the 20%. "Quizzes" are untimed and easy enough, 15%. Labs are perhaps the most unnecessary things at this school. Focuses on using R to do statistics stuff, you can get by by copying exactly what your TA shows you. No coding knowledge is required. Shoutout Luciano Vinas for being the homie, dude made it so easy to do labs and graded quite easy. There's a group project at the end of the year, thing takes maybe 2 hours to grind out by yourself, there is no real need for a group. 15% of your grade.
Take this class with professor Cha if you can!! she is really sweet and amazing and you can tell she actually really cares for her students. Her lectures are really engaging and she goes at a good speed but she can talk kind of quiet so make sure to pay attention. The class consisted of a midterm and final, 6 quizzes, 5 labs, and a final project. The quizzes weren't too bad as long as you paid attention in class and sometimes some of the questions for the quiz were used as clicker questions during lectures. The labs were also pretty easy and don't be scared because of the coding because the TAs basically walk you through it and give you the answers. The midterm and final wasn't too bad because it's mostly similar to the quizzes but do make sure that you know the content because some questions can be tricky. Also, the midterm and final for W22 were online and the professor used respondus lockdown browser with camera on to proctor the test but don't worry because despite this she made it open note so as long as you have good notes then you will be fine. The final project was also not too bad since you use the coding you learned from labs to help you answer a research question you come up with based on the data set she gives you and you just write a report at the end based on your findings. Also, for the project you can work alone or in a group of up to 7 people so if you do it in a group the project becomes super manageable and easy and can be done in a day.
Here is the class breakdown for what goes towards your grade:
Quizzes: 15% (6 total - lowest dropped)
Labs: 20% (5 total - lowest dropped)
Exams: 50% (midterm 20% and final 30% or midterm 30% and final 20% depending on which exams you did better on)
Final Project: 15% (2 project check ups graded on completion 3%, final lab report and R code 12%)
Extra credit: up to 1% (iclicker questions for participation give you 0.1% for each lecture. answer iclicker questions in 10 lectures to get full 1% extra credit) (yes you will have to pay for iclicker to get these points)
Also on a final note, this class does have an optional textbook (which can be found online for free) but it is definitely not needed or required since you will only be tested on things from lecture.
Overall, TAKE THIS CLASS!!! you won't regret it!
This class is definitely one of the easiest GEs out there! Professor Cha is also very sweet and accommodating since she continued to record lectures for us if we were not able to attend in-person lectures. The assignments of this class consisted of six weekly quizzes, a lab due every two weeks, and a final project. The quizzes were very easy and could easily be done as long as you pay attention to lectures. Also, do not be scared of coding for the labs since the TAs will basically walk you through the entire thing and give you the answers. The final project basically involved things we had used in labs, so it was not hard at all either. Also, you can go solo or be in a group of up to 7 for the project.
For the exams, just like the quizzes, as long as you pay attention to the lectures and take good notes then you should be good. Definitely take this class if you can!
By design, STATS 10 is very easy, as no previous knowledge of statistics is assumed. The first half of this course, leading up to the [only] midterm, covers almost exclusively content that would be learned in a typical middle school or high school math curriculum such as mean, standard deviation, IQR, etc. The second half was focused on hypothesis testing but was still quite basic. Both the midterm and final were open-note multiple choice tests of about 40 questions each, and all you really needed to achieve a perfect score was applying formulae correctly. This class had no homework other than labs, which were essentially a basic introduction to R programming; the TA's would go over the answers during discussion, so it was all free points.
I would definitely recommend this class as an easy science GE even if it's not a major requirement.
Easy GE relative to most other math/stats classes, but it still requires some work and note-taking to succeed. The tests are easy -- online, 2 hours which is generous, multiple choice, and 15 pages of cheat sheets! Also, the final project takes only a few hours. Be careful on the labs though, they require programming in R which may be challenging for those without any coding background.
I am not a STEM person and struggle with anything having to do with numbers, but Professor Cha's lectures are so clear and easy to follow that I was able to understand all of the material.
The class has six quizzes, six labs (which are basically fully completed during the lab portion of the class), a midterm, a final, and a final exam.
She bruincasts every lecture and uploads the slides, which I recommend referring to when studying for the exams.
This is a very easy stats class so I recommend it if it is a requirement for your major.
I was nervous about taking Stats 10 since I had never done stats before but it was totally easy for someone who was not super STEM focused. There is no homework which is great. Cha gives us access to a textbook but it’s just for practice if you need extra help. While I caught onto the concepts easily I struggled to connect the lecture with the lab, as the TA clearly did not know what had gone on in the lecture. Coding was difficult to pick up, but as long as you go to section you will get good grades on all the labs, because the TAs truly give you all the code. That being said, the labs make up a chunk of your grade, as do a final, midterm and a project. The final and midterm were not that difficult as they were open note (you could use 15 pages front and back of notes during the exam) but definitely worth studying for. The practice exams help a ton. The project was daunting at first but was very manageable and easy to do by using the examples from the lab and section. Plus, Cha gave .1% of extra credit for every class you attend by tracking iClicker participation. Cha was understanding and caring, and taught at a good pace. You should not be worried about taking this class!!
Based on 86 Users
TOP TAGS
- Uses Slides (53)
- Appropriately Priced Materials (30)
- Would Take Again (41)
- Tolerates Tardiness (28)