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
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8.3 / 10
- Organization
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8.3 / 10
- Time
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10-15 hrs/week
- Overall
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8.3 / 10
Reviews
Lectures were optional and recorded, posted afterwards, and there was no textbook for the class - all material was covered in lecture itself, and every homework had examples showing a walkthrough for each problem. Compared to ls30 a/b this class seems like it could have been the first in the series, very straightforward - highly recommend!
I LOVED Professor Kim. He made this class so enjoyable. 10/10 would recommend.
I liked that he made class engaging and fun rather than being serious all the time. I also liked that he gave many practice problems to help prepare us for the exams
Showing 11 to 13 of 13 reviews
Course
Grading Information
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No group projects
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Attendance required
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2 midterms
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Finals week final
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23% recommend the textbook
Previous Grades
Grade distributions not available.