This course will introduce the fundamental concepts of analysis of data from both observational studies and experimental designs using classical linear methods, together with concepts of collection of data and design of experiments. First we will consider linear models and regression methods with diagnostics for checking appropriateness of models. We will look briefly at robust regression methods here. Then we will consider the design and analysis of experiments considering notions of replication, randomization and ideas of factorial designs. Throughout the course we will use the R statistical package to give analyses and graphical displays.
Three 1 hour lectures, one 1 hour tutorial and one 1 hour computer laboratories per week.
One 2 hour exam, assignments and/or quizzes, and computer practical reports (100%)
(DATA2002 or STAT2X12) and (MATH1X02 or MATH1014)Prohibitions
STAT3002 or STAT3004 or STAT3902 or STAT3912 or STAT3904