Non-Linear and Non-Normal Data

Lectures

Working With Non-Linear and Non-Normal Data

Guest speaker Damian Blasi discusses the basics of working with data that violate common statistical assumptions, including assumptions of normality (i.e., that data are normally distributed) and assumptions of linearity (i.e., that the relationship between two variables is linear).