Module code | WST 121 |
Qualification | Undergraduate |
Faculty | Faculty of Economic and Management Sciences |
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, evaluation and interpretation of statistical computer packages and statistical techniques. |
Module credits | 16.00 |
NQF Level | 05 |
Programmes |
BCom specialising in Econometrics
BCom specialising in Statistics and Data Science BSc in Computer Science BSc in Information Technology in Information and Knowledge Systems BSc in Actuarial and Financial Mathematics BSc in Applied Mathematics BSc in Chemistry BSc in Chemistry 4-year programme BSc in Mathematical Statistics BSc in Mathematics BSc in Mathematics 4-year programme BSc in Meteorology BSc in Meteorology 4-year programme BSc in Physics BSc in Physics 4-year programme |
Service modules | Faculty of Engineering, Built Environment and Information Technology Faculty of Economic and Management Sciences Faculty of Natural and Agricultural Sciences |
Prerequisites | WST 111 or WST 133, 143 and 153 |
Contact time | 1 practical per week, 4 lectures per week |
Language of tuition | Module is presented in English |
Department | Statistics |
Period of presentation | Semester 2 |
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