Introduction to Statistical Methods for Life and Health Sciences
Lecture, three hours; discussion, one hour; laboratory, one hour. Not open for credit to students with credit for course 10, 10H, 11, 12, or 14. Presentation and interpretation of data, descriptive statistics, introduction to correlation and regression and to basic statistical inference (estimation, testing of means and proportions, ANOVA) using both bootstrap methods and parametric models. P/NP or letter grading.
Review Summary
- Clarity
-
6.7 / 10
- Organization
-
6.7 / 10
- Time
-
0-5 hrs/week
- Overall
-
6.7 / 10
Reviews
I liked the discussion sessions. The TAs were very kind and helpful and reviewed the lab every discussion.
Overall he's not very likable as a professor and exams in my opinion were a bit too tough. However participation is not required and exams are open book.
Took it during summer online. It was a very simple class with weekly homework. The TA's essentially just give you the answers for lab and the tests are very easy. Schoenberg is a pretty good lecturer and a pretty fair teacher.
Stats 13 with Schoenberg was one of the lightest courses I've taken. From what coursework I've seen, we covered considerably less content than other lectures (we didn't even touch binomial distribution). The midterm and final are heavily weighted, while the homework and labs are given to you during section; as long as you understand several core concepts and write down all the formulas (tests are open note), you can easily get an A in the class.
Displaying all 4 reviews
Course
Grading Information
-
No group projects
-
Attendance not required
-
1 midterm
-
Finals week final
-
50% recommend the textbook
Previous Grades
Grade distributions not available.