Covers multiple sample tests, goodness-of-fit tests and analysis of contingency tables.
Focuses on multiple regression, including indicator variables, curvilinear relationships
and interaction effects, multi-co-linearity and auto correlation. Other topics may include
time series and forecasting, exponential smoothing and non-parametric methods.
Pre-requisite: STA 101E