Introduction to Probability and Statistics 2: Statistics

Lecture, three hours; discussion, one hour. Requisites: courses 31A, 31B, and 170A or 170E or Statistics 100A. Not open to students with credit for Statistics 100B. Introduction to statistics. Topics include sampling, estimation (maximum likelihood and Bayesian), properties of estimators, regression, confidence intervals, hypotheses testing, analysis of variance. P/NP or letter grading.

Review Summary

Clarity
1.7 / 10
Organization
5.0 / 10
Time
10-15 hrs/week
Overall
3.3 / 10

Reviews

    Quarter Taken: Winter 2023 In-Person
    Grade: N/A

    I feel like the class was pretty interesting. However, the Professor didn't really make himself available which made the course a bit more difficult

    Quarter Taken: Winter 2023 In-Person
    Grade: A

    The lectures include a lot of derivation, so the class may feel boring. Although the class is in-person, it is live streamed on zoom and recorded. Assignments are straightforward and they are graded very generously. Midterm and final are just like practice problems given. Overall, if you attend lectures and follow the material, you should be fine.

Course

Instructor
Halyun Jeong
Previously taught
24S 24W 23W 22S

Grading Information

  • No group projects

  • Attendance not required

  • 1 midterm

  • Finals week final

  • 100% recommend the textbook

Previous Grades

Grade distributions not available.