| Module code | STK 210 |
| Qualification | Undergraduate |
| Faculty | Faculty of Economic and Management Sciences |
| Module content | Statistical problem solving. Causality, experimental and observational data. Probability theory. Multivariate random variables. Discrete and continuous probability distributions. Stochastic representations. Measures of association. Expected values and conditional expectation. Simulation techniques. Supporting mathematical concepts. Statistical concepts are demonstrated and interpreted through practical coding and simulation within a data science framework. |
| Module credits | 20.00 |
| Programmes |
BCom
BCom Agribusiness Management BCom Economics BCom Informatics Information Systems BCom Investment Management BCom Law BCom Statistics BCom Statistics and Data Science BIT Information Systems BSc Information and Knowledge Systems BSocSci Philosophy, Politics and Economics BScAgric Agricultural Economics and Agribusiness Management |
| Service modules | Faculty of Engineering, Built Environment and Information Technology Faculty of Humanities Faculty of Natural and Agricultural Sciences |
| Prerequisites | STK 110, STC 122 or WST 111, WST 121 |
| Contact time | 1 practical per week, 3 lectures per week |
| Language of tuition | Module is presented in English |
| Department | Statistics |
| Period of presentation | Semester 1 |
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