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
5-10 hrs/week
Overall
10.0 / 10

Reviews

    Quarter Taken: Spring 2023 In-Person
    Grade: A

    The class was pretty easy overall. There is not much homework at all, and the coding labs we did were always pretty manageable, except for the last lab, which everyone had a ton of questions about and many people struggled because of how open-ended it is (Kresin made it himself). What made the class difficult is that Kresin makes the exams much more difficult, and most people average a 50%. He also said the final would be no harm, but he took it out for those who scored below the mean, and kept it for those who scored above. Therefore, students who did well on the final suffered with their grades, and I got a B despite being on track to an A, while those who failed got As. It was incredibly unfair, and Kresin refused to fix it, until we all emailed the stats dept.

    Quarter Taken: Spring 2023 In-Person
    Grade: B

    Having taking AP Stats in highschool, I thought I was prepared for Stats 13 but the class was unlike anything I would've expected. From my experience, this class seems to lean towards the theoretical processes of statistics rather than placing an emphasis on the mathematical concepts of things like z-scores and standard deviations which we're all more than familiar with from high school.

    The homework was challenging and required us to, at times, teach ourselves the concepts asked of us since the class felt beyond unorganized sometimes. There is no required textbook.

    When I learned this class had labs where you code, I immediately got flashbacks of the horrors of the LS30 series but the coding for this class was much simpler and much more manageable. The hardest part is actually figuring out how to turn your lab into a PDF using the coding software you'll download.

    Overall, this was a fun class even if it was more on the theoretical side of statistics which wasn't what I expected.

Course

Instructor
Kresin, C.J.
Previously taught
23S

Grading Information

  • No group projects

  • Attendance not required

  • 1 midterm

  • 10th week final

  • 0% recommend the textbook

Previous Grades

Grade distributions not available.