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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10.0 / 10
- Organization
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10.0 / 10
- Time
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5-10 hrs/week
- Overall
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10.0 / 10
Reviews
the class is relatively easy and the tests are fair multiple choice with maybe one coding question. TAs are helpful for doing the coding hw
Dr.Z is an amazing professor who really wants her students to succeed. As long as you pay attention in class and do all the work required it is very doable to receive an A
The professor is really nice and answers questions/explains concepts so clearly. attending lectures definitely guarantees your A (had I known that before the midterm, I would have an A). none of the actual content is hard and the lectures can make it seem long and tedious but it really comes together during finals and you'll realize that the homework and lectures are exactly what are on the test. overall, I learned a lot through the labs (coding using R) despite not being a cs person.
I think this course is honestly one of the easiest if not the easiest stats courses at this school. Even with barely any background in coding with R, the coding is self-explanatory and explained in every lab. The labs are the same every year, and the quizzes and exams are pretty easy to deduce. I think that this is a good course to take if you need a light load.
This class was more difficult than I expected. I had already taken psych 100a, so I assumed it would be easy since I was familiar with stats in R. However, it was definitely difficult at points and I struggled to understand some parts of the material. I would definitely recommend attending discussion and lab, as the homework was tricky at points and the graders would take off points for very little mistakes.
Displaying all 5 reviews
Course
Grading Information
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No group projects
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Attendance required
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1 midterm
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10th week final
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60% recommend the textbook