Faculty of Engineering, Built Environment and Information Technology
Faculty of Education
Faculty of Humanities
Faculty of Natural and Agricultural Sciences
Prerequisites
At least 5 (60-69%) in Mathematics in the Grade 12 examination. Candidates who
do not qualify for STK 110 must register for STK 113 and STK 123
Contact time
1 tutorial per week, 1 practical per week, 3 lectures per week
Language of tuition
Separate classes for Afrikaans and English
Academic organisation
Statistics
Period of presentation
Semester 1
Statistics 120 (STK 120)
Module content:
Multivariate statistics:
Analysis of variance, categorical data analysis, distribution-free methods, curve fitting, regression and
correlation, the analysis of time series and indices.
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Statistical and economic applications of quantitative techniques:
Systems of linear equations: drafting, matrices, solving and application. Optimisation; linear functions (two and
more independent variables), non-linear functions (one and two independent variables). Marginal and total
functions. Stochastic and deterministic variables in statistical and economic context: producers' and consumers'
surplus, distribution functions, probability distributions, probability density functions. Identification, use,
evaluation, interpretation of statistical computer packages and statistical techniques.
This module is also presented as an anti-semester bilingual module.
Module credits
13.00
Service modules
Faculty of Engineering, Built Environment and Information Technology
Faculty of Education
Faculty of Humanities
Faculty of Natural and Agricultural Sciences
Prerequisites
STK 110 GS or both STK 113 GS and STK 123 GS or both WST 133 and WST 143 or
STK 133 and STK 143
Contact time
1 practical per week, 1 tutorial per week, 3 lectures per week
Language of tuition
Separate classes for Afrikaans and English
Academic organisation
Statistics
Period of presentation
Semester 2
Mathematical statistics 111 (WST 111)
Module content:
Characterisation of a set of measurements: Graphical and numerical methods. Random sampling. Probability
theory. Discrete and continuous random variables. Probability distributions. Generating functions and moments.
Module credits
16.00
Service modules
Faculty of Engineering, Built Environment and Information Technology
Faculty of Economic and Management Sciences
Faculty of Natural and Agricultural Sciences
Prerequisites
At least 5 (60-69%) in Mathematics in the Grade 12 examination
Contact time
4 lectures per week, 1 practical per week
Language of tuition
Separate classes for Afrikaans and English
Academic organisation
Statistics
Period of presentation
Semester 1
Mathematical statistics 121 (WST 121)
Module content:
Sampling distributions and the central limit theorem. Statistical inference: Point and interval estimation.
Hypothesis testing with applications in one and two-sample cases. Introductory methods for: Linear regression
and correlation, analysis of variance, categorical data analysis and non-parametric statistics.
Identification, use,
