Lecture, four hours. Requisites: course 10 with a grade of C or better, and one course from Mathematics 2, Program in Computing 10A, Statistics 10, or one term of calculus. Designed for premajors. Basic statistical procedures and their application to research and practice in various areas of psychology. P/NP or letter grading.

Review Summary

Clarity
10.0 / 10
Organization
10.0 / 10
Time
0-5 hrs/week
Overall
8.3 / 10

Reviews

    Quarter Taken: Winter 2022 In-Person
    Grade: A

    The final is an unconventional style (data report, not a test).

    Quarter Taken: Winter 2022 In-Person
    Grade: A+

    I loved taking this class with Prof Stigler. I thought he really formatted the class well but I also did take it online. He basically runs through different code with you in the Jupyter Notebooks during lecture and then you complete assignments in the textbook as homework. There's also this one project where you analyze your own data which wasn't too bad

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

    This class was basically a learn at your own pace class for me since most of the material was on CourseKata. Both the midterm and the final are super manageable as well. I think having good TAs helped too – I had Riley and Icy as my TAs and they were super helpful!

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

    The midterm and final were really straightforward if you read the textbook thoroughly.

    Quarter Taken: Spring 2023 In-Person
    Grade: A

    All that's needed for this class is the textbook, where all the homework is done, and lab attendance. One of the easiest and most lowkey classes I've taken, Professor Stigler is very kind and accommodating toward students.

    Quarter Taken: Spring 2023 In-Person
    Grade: A

    I took it during the summer and I think lectures were organized. Exams are like the homework

    Quarter Taken: Spring 2023 In-Person
    Grade: A

    This class was very chill, and tests were quite easy.

    Quarter Taken: Spring 2023 In-Person
    Grade: A

    Never went to class, extremely easy A. If you have taken stats in the past, this is not any new material except for using a little R, but even for that he gives a cheat sheet on exams that you don't even really need. Lectures not very useful for me, and discussion/lab was mandatory and boring but helpful for some.

    Quarter Taken: Spring 2023 In-Person
    Grade: A

    OK 100a is the weirdest class ever bc everyone I've talked to has had a different experience based on quarter. In this class lecture time was spent going through Jupyter notebooks that the professor talked through on screen. Homework was completing an online textbook which I didn't find helpful at all because it doesn't tell you the answer if you get it wrong and is graded on completion, which left me and everyone else just randomly inputting answers to quickly finish the homework. "Lab" section was required and it was just everyone sitting together in a lecture hall. Lab was super dumb (cutting up papers, recording your partner cutting up papers, etc) and not really helpful to learning the material. Exams were also on Jupyter notebook and pretty easy

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

    Lecture optional, but concepts are easier to grasp if you go. Many extra credit opportunities.

Course

Instructor
James Stigler
Previously taught
24W 23S 23W 22W 21W

Grading Information

  • No group projects

  • Attendance not required

  • 2 midterms

  • Finals week final

  • 83% recommend the textbook

Previous Grades

Grade distributions not available.