Introduction to key statistical concepts and their appropriate application so that students understand how to use statistics. Examines foundational statistical concepts of descriptive statistics, probability, and sampling distributions and introduces some of the major concepts and inferential statistical techniques used in psychological research to test hypotheses.
5
UnitsOptional
Grading1, 2, 3
PasstimeNone
Level LimitLetters and science
CollegeThe class overall was fine, not super difficult since it was online format and there are slides to help you. However, if you miss one thing or do poorly on one assignment you can never get your grade back up as an A+ brings you up like 0.5 percent on the grading scale no matter the assignment
the class can seem intimidating in the beginning, esp if you don't love math/stats or coding like me. BUT as long as you go to lecture you'll be fine! The class is so straight forward and he explains the material in a helpful way. He's very kind.
the class was made up of 5 quizzes with the lowest one dropped, lecture questions, and lab participation. the quizzes could be tough as he adds challenge questions, but as long as you show up to the lecture days were he gives out the code you could pass them. I never went to office hours but he always talked about being available to help students.
Conroy-Beam made the class extremely easy grade-wise. Quizzes are the only thing you need to worry about (everything else is basically participation), so make sure to attend his lectures where he's sharing the R code. Have the R code and slides pulled up for a good grade.
I just realized I never rated him for 10B when I took it last year, but I'm signing up for classes right now and saw he's teaching 143, and I'm taking it solely because he's the prof. Absolutely love him he's such a nice guy, and he really makes it easy to pass his class if you can follow instructions. Without a doubt my favorite prof at UCSB.
Such a fun professor, likes to get participation in his lectures and helps us master concepts in R coding. fair grader and tester, reviews material from last few lectures in current lectures. material is addressed clearly and in an organized way, easy to understand.