Introduction to Statistical Reasoning
Lecture, three hours; discussion, one hour; computer laboratory, two hours. Preparation: three years of high school mathematics. Not open for credit to students with credit for course 12, 13, or 15. Introduction to statistical thinking and understanding, including strengths and limitations of basic experimental designs, graphical and numerical summaries of data, inference, regression as descriptive tool. P/NP or letter grading.
Review Summary
- Clarity
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8.3 / 10
- Organization
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8.3 / 10
- Time
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0-5 hrs/week
- Overall
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10.0 / 10
Enrollment Progress
Section List
LEC 1
ClosedTR 11am-12:15pm
Mathematical Sciences 4000A
LEC 2
ClosedTR 2pm-3:15pm
Mathematical Sciences 4000A
Reviews
Pretty good class!
This was the easiest class I've taken at UCLA. Highly recommend. Labs are easy, tests are fair and she lets you have notes.
this class was so nice. the only assignments you really have are coding labs in R studio, and your TA walks you through them during the discussion sections!
Overall straightforward class, and discussion lab assignments were really interesting. This course helps you learn basic coding necessary for more advanced stats and econ classes.
Professor Cha is a fantastic professor. Attendance is not necessary but she does offers extra credit through iClicker up to 1% at the end of the quarter. Exams can just be studied through lecture notes/practice exams/quizzes, no need purchase a textbook. You will learn code (in R) during discussion but it is essentially copy and paste from TA and typing out the answers in your own words.
easy class, good to get a basic idea of statistics
Easy GE, very straightforward. 2 exams, second is like a final but not cumulative and both are 2 hours long only MC through lockdown browser. Rest of the grade is made up of weekly quizzes and labs. Weekly quizzes have unlimited time to take but one attempt. Labs are straightforward as TAs explain how to answer the problems accurately. Thus the quizzes and labs should be a free 40% of your grade. The first midterm is easy, the median was an A. "Final" will be slightly harder but still doable and you get 1% EC for showing up to class.
Professor Cha was the best professor I had this year! She was understandable with any circumstances whether if it was personal issues or having difficulties with wifi. She will always find accommodation for her students and the best part was that we didn't need the textbook for her class. Everything is based on her slide and she annotates them very heavily but will post her work on Bruinlearn for students who are unable to attend lecture to receive her copy. She is an excellent lecturer and makes statistics very easy to learn. Her first midterm was fairly easy however the second one was pretty difficult. She gave an extra boost to people's grade because of the performance of the second midterm which was very helpful at the end of the quarter because I was able to go from a C+ to a B-. Furthermore, students were allowed have notes on the test that were up to 15 pages, front and back. There was a project that incorporates what we learned in the lecture into a coding project and a report. This was fairly easy and can be done solo or with a group of student. This class is manageable and I recommend students to have Professor Cha as their Stats 10 professor!
Stats 10 was an easy class, even when I hadn't taken AP Statistics in high school. Most of the concepts are pretty intuitive and Professor Cha is good about answering questions and wants you to actually understand the material. My TA basically wrote out all the R code we needed to use, so the lab section was also quite manageable. Without too much studying, I finished with an 103 in the class thanks to extra credit and a points boost after the final average was a little lower than she wanted.
Having taken AP stats, this course doesn't dive nearly as deep into the same concepts. Should be an easy/review refresher if that is the case for you. The section component of this course is coding in R, but your TA should be able to walk you through it.
Displaying all 10 reviews
Course
Grading Information
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No group projects
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Attendance not required
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1 midterm
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10th week final
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27% recommend the textbook
Previous Grades
Grade distributions not available.