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
10.0 / 10
Organization
10.0 / 10
Time
0-5 hrs/week
Overall
10.0 / 10

Reviews

    Quarter Taken: Fall 2022 In-Person
    Grade: P

    Good class overall. Prof gives clear explanations, and slides make content easy to understand.

    Quarter Taken: Fall 2022 In-Person
    Grade: A

    Tsiang is an amazing professor. He was so kind and always granted extensions when necessary. Supports mental health over anything. Would highly recommend taking it with him.

Course

Instructor
Michael Tsiang
Previously taught
24W 22F 21W 20Su 19Su 19S 18S 17W

Grading Information

  • No group projects

  • Attendance not required

  • 1 midterm

  • Finals week final

  • 50% recommend the textbook