Course description

In a complex environment with many sources of variability, how can one tell with confidence whether a particular observed effect is real? And how much confidence is appropriate? This course introduces the principles of statistical description and inference as strategies to answer these questions, with emphasis on methods of principal relevance to psychology, neuroscience, and the behavioral sciences.

Students may receive credit for only one course in the following group: PSYCH 3500, AEM 2100, ENGRD 2700, ILRST 2100/STSCI 2100, MATH 1710, NTRES 3130/BTRY 3010/STSCI 2200, PAM 2100, PAM 2101, SOC 3010, STSCI 2150. Calculus is not required.

Summer 2024: Online course