= Synopsis of the Graduate Statistics Course 2007 =

Exploratory Data Analysis (EDA)

•	What is it?
•	Skew and kurtosis: definitions and magnitude rules of thumb
•	Pictorial representations - in particular histograms, boxplots and stem and leaf displays
•	Effect of outliers
•	Power transformations
•	Rank transformations

Regression

•	What is it?
•	Expressing correlations (simple regression) in vector form
•	Scatterplots
•	Assumptions in regression
•	Restriction of range of a correlation
•	Comparing pairs of correlations
•	Multiple regression
•	Least squares
•	Residual plots
•	Stepwise methods
•	Synergy
•	Collinearity

Between subjects analysis of variance

•	What is it used for?
•	Main effects
•	Interactions
•	Simple effects
•	Plotting effects
•	Implementation in SPSS
•	Effect size
•	Model specification
•	Latin squares
•	Balance
•	Venn diagram depiction of sources of variation