This course extends beyond traditional single-sample datasets. Students work with data on a larger scale by examining population data and implementing basic meta-analyses using a modern coding language. In addition, students extend their knowledge of statistical decision-making by learning to apply basic Bayesian models of statistical decision-making.

Antirequisite(s): the former Psychology 3800F/G.

Prerequisite(s): At least 75% in Psychology 2802F/G and Psychology 2812A/B, plus registration in third or fourth year Honours Specialization in Psychology or Honours Specialization in Developmental Cognitive Neuroscience, or Honours Specialization in Animal Behaviour.

Extra Information: 2 lecture hours and 2 laboratory hours.