An introduction to statistics for students interested in the quantitative analysis of problems in the life sciences. The focus is on application; topics include probability, correlation and regression, sampling distributions, confidence intervals, and hypothesis testing.
5
UnitsOptional
Grading1, 2
PasstimeNone
Level LimitLetters and science
CollegeThis is a teacher that cares. It's not a super difficult class but there's a decent amount of homework. They present the information very clearly in each lecture and prepare you well for the exams. Super friendly and helpful. The class material itself is a bit boring but they do what they can to make it an engaging learning experience.
they clearly care about their students' success. its an easy class, but there's a good amount of homework
I got a C+ and it was only becuase I didn't go to lecture as much as I should have. This class is extremely easy and passable if you study concurrently, literally you will only get an A if you go to class.
This class was fairly easy. I STRONGLY encourage actually taking time on the weekly homework assignment, and making sure every problem is understood. Slides and recorded lectures are posted if you are not able to make it to lecture. Section attendance is required. Actual tests are not bad, just do practice test. Overall great professor who cares!
easy A, good lecturer. lots of hw, easy tests
I feel like this class is harder than most people say it is. There are so many little niche things about stats you have to really write down everything in lecture and make notes on what you did wrong on homework to really understand, as even the wording can mess you up. Miller clearly cares though.