University of Cape Town
Cape Town, South Africa
Area of Study
Taught In English
Course entry requirements: DP certificate for STA2004F.
Course Level Recommendations
ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.
Host University Units24
Recommended U.S. Semester Credits4
Recommended U.S. Quarter Units6
Hours & Credits
This course gives an introduction to statistical modelling and the theory of linear statistical models. The student is introduced to the principles of experimental design, statistical software and practical data analysis through weekly computer practicals and the exposure to many data sets. The course has three sections:
Regrerssion: The multivariate normal distribution; quadratic forms; the linear model; maximum likelihood; estimates of parameters in the linear model; the Gauss-Markov theorem; variable selection procedures; analysis of residuals.
Design and analysis of experiments: Introduction to the basic design principles, basic experimental designs (completely randomised design, the randomised block design, latin square design,) factorial experiments, analysis of variance, the problem of multiple comparisons, power and sample size calculations, introduction to random effects and repeated measures.
Nonparametric statistics: Introduction to nonparametric tests and methods, including Mann-Whitney U, Kruskal Wallis, Friedman and randomisation tests.
Credits earned vary according to the policies of the students' home institutions. According to ISA policy and possible visa requirements, students must maintain full-time enrollment status, as determined by their home institutions, for the duration of the program.