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.

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Course

Instructor
Nicolas Christou
Previously taught
16W 14F 13F 12F 11F 10F 10S 09F 09S 09W 08W 07F 07W 06F 06W 05W