Probability and Statistics for Economists
Lecture, three hours; discussion, one hour. Enforced requisites: Mathematics 31A, 31B, with grades of C or better. Not open to students with credit for former Statistics 11. Introduction to theory and practice of mathematical statistics with emphasis on its use in economics. Introduction of basic statistical concepts such as random variables, probability distributions, estimation, confidence intervals, and hypothesis testing. Letter grading.
Review Summary
- Clarity
-
8.3 / 10
- Organization
-
8.3 / 10
- Time
-
0-5 hrs/week
- Overall
-
8.3 / 10
Reviews
The content of the course is pretty basic (basically like a high school statistics class), but that means it's very competitive with other students. Chetverikov follows the Econ department grading policy very closely (25%/35%/25% A/B/C), so you have to do very well on the tests to get an A. Still, the tests are pretty close to the homework he assigns, so if you understand those you should do fine. The workload is light, only one very short problem set per week. Thankfully, unlike most professors, Chetverikov actually releases grades quickly. CCLE midterm and final were scored on the same day, no waiting for weeks to see how you're doing in the class.
Overall, Chetverikov's lectures are pretty average. He's not the most engaging lecturer, but he gets the material across and his lectures cover everything you need to know for the homework and tests.
Showing 1 review
Course
Grading Information
-
No group projects
-
Attendance not required
-
1 midterm
-
Finals week final
-
0% recommend the textbook
Previous Grades
Grade distributions not available.