| Module code | WST 321 |
| Qualification | Undergraduate |
| Faculty | Faculty of Economic and Management Sciences |
| Module content | Note: Only one of the modules WST 321 or STK 320 may be included in any study programme. Stationary and non-stationary univariate time-series. Properties of autoregressive moving average (ARMA) and autoregressive integrated moving average (ARIMA) processes. Identification, estimation and diagnostic testing of a time-series model. Forecasting. Multivariate time-series. Practical statistical modelling and analysis using statistical computer packages, including that of social responsibility phenomena. |
| Module credits | 18.00 |
| NQF Level | 07 |
| Programmes | |
| Service modules | Faculty of Economic and Management Sciences Faculty of Natural and Agricultural Sciences |
| Prerequisites | WST 211, WST 221, WTW 211 GS and WTW 218 GS |
| Contact time | 1 practical per week, 2 lectures per week |
| Language of tuition | Module is presented in English |
| Department | Statistics |
| Period of presentation | Semester 2 |
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