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
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0.0 / 10
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0.0 / 10
- Time
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0-5 hrs/week
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0.0 / 10
Reviews
As long as you do the work, you should be fine. Lecture slides are a huge ordeal to sort through but needed info is there.
do not take it with this professor. he does not give practice midterms
Have to learn R code in discussions but material itself if easy especially if you took AP Stats in high school.
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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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Finals week final
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67% recommend the textbook