Listed in: Psychology, as PSYC-122
Matthew Schulkind (Section 01)
This course covers the basic statistical procedures used by behavioral scientists including: confidence intervals, t-tests, analysis of variance (ANOVA), correlation, and regression. Although the course will teach students how to calculate relevant statistics, equal emphasis will be placed on the theoretical background that underlies the practice of statistics. Primary source articles will be discussed to illustrate how statistical inferences yield theoretical conclusions. Students will learn both how to present data to a scientific community and how to evaluate statistical claims that they encounter in scientific and other contexts.
Requisite: PSYC 100 or consent of the instructor. Limited to 30 students. Fall semester: Professor Schulkind. Spring semester: Professor McQuade.
How to handle overenrollment: Preference given to sophomores who intend to major in Psychology
Students who enroll in this course will likely encounter and be expected to engage in the following intellectual skills, modes of learning, and assessment: This course will include both online and in-person lectures. It adopts a quantitative approach; students will be asked to solve quantitative problems both inside and outside of class. Problem sets will be assigned weekly. There will be short reading assignments approximately every other week. Students should expect three in-class exams. Homework assignments and exams will include a mixture of calculation and conceptual questions.