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: Fall 2021 In-Person
    Grade: A

    the class is relatively easy and the tests are fair multiple choice with maybe one coding question. TAs are helpful for doing the coding hw

    Quarter Taken: Spring 2023 In-Person
    Grade: A

    Dr.Z is an amazing professor who really wants her students to succeed. As long as you pay attention in class and do all the work required it is very doable to receive an A

    Quarter Taken: Fall 2023 In-Person
    Grade: B+

    The professor is really nice and answers questions/explains concepts so clearly. attending lectures definitely guarantees your A (had I known that before the midterm, I would have an A). none of the actual content is hard and the lectures can make it seem long and tedious but it really comes together during finals and you'll realize that the homework and lectures are exactly what are on the test. overall, I learned a lot through the labs (coding using R) despite not being a cs person.

    Quarter Taken: Fall 2023 In-Person
    Grade: A+

    I think this course is honestly one of the easiest if not the easiest stats courses at this school. Even with barely any background in coding with R, the coding is self-explanatory and explained in every lab. The labs are the same every year, and the quizzes and exams are pretty easy to deduce. I think that this is a good course to take if you need a light load.

Course

Instructor
Linda Zanontian
Previously taught
24S 23F 23S 22W 21F 21S 21W 20F 20S 20W 19F 19W 18W 17S

Grading Information

  • No group projects

  • Attendance required

  • 1 midterm

  • 10th week final

  • 50% recommend the textbook