is part 1 of the 2-semester course sequence, PSYC 5741 and PSYC 5751. This course surveys probability and statistics in psychology, using the general linear model as a basic "recipe" for data analysis. After introducing a few powerful concepts that enable a range of questions to be asked, the course focuses on building and interpreting models using standard regression software. Restricted to Psychology and Neuroscience (PSYC & NRSC) graduate students. Instructor consent required for students outside of the department.
instructor(s)
Correll, Joshua
Primary Instructor
- Fall 2018 / Fall 2020 / Fall 2021 / Fall 2023 / Fall 2024
Friedman, Naomi P
Primary Instructor
- Fall 2019 / Fall 2020 / Fall 2022 / Fall 2023
