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

10.0 / 10
10.0 / 10
5-10 hrs/week
10.0 / 10


    Quarter Taken: Winter 2023 In-Person
    Grade: A

    super super super fair professor who goes above and beyond for his students! taught all sections, graded all work, did lectures, hosted office hours, etc. all by himself during TA strike. though lectures can seem a bit confusing they make sense when doing the homework and all material (homework, quizzes, exams) are super consistent in problem wording and difficulty


Kim, D.S.
Previously taught
23W 22F

Grading Information

  • No group projects

  • Attendance not required

  • 1 midterm

  • Finals week final

  • 0% recommend the textbook

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