Required basic statistics qualifications involves knowledge of:
(1) Introductory concepts: descriptive statistics, random variables and their distribution, properties of lineair combinations of random variables.
(2) Inference from normally distributed data: t-tests, F-test to compare variances, P-values, type I and type II errors.
(3) The general linear model: t-test on a regression coefficient, analysis of variance, extra sum of squares, (adjusted) R-squared and model selection, quantitative and qualitative explanatory variables, interactions, post-hoc analysis, geometric interpretation of regression, hat-matrix.
(4) Non-parametric statistics.
