Course period: 2.
Year of study: 2.
Compulsory module
The main educational goal of the course is:
- acquaint students with the principles, knowledge, main goals in the field of quantitative analysis and basic forecasting procedures,
- acquaint students with the stages of implementation of quantitative analysis, types of methods and approaches to quantitative analysis and prognosis,
- teach students to practically implement relevant analyzes and forecasting methods,
- get acquainted with primary and secondary data sources that are suitable for the implementation of analyzes and forecasting in the field of trade and marketing,
- gain knowledge about the possibilities of quantitative data processing using software products,
- to teach students to correctly draw conclusions from realized analyzes and forecasting methods,
- gain an analytical approach to solving economic problems that can applied to the field of economic practice.
Brief module description:
- Basic approach s of quantitative analysis.
- Analysis of qualitative and quantitative statistical variables.
- Data processing and analysis, problem solving in data processing.
- Inductive statistics.
- Investigation of dependencies of qualitative and quantitative statistical variables.
- Regression models.
- Multivariate regression models.
- Regression models and their use in forecasting.
- One-factor analysis of variance (one-way ANOVA).
- Multi-factor analysis of variance.
- Nonparametric analysis of variance.
- Presentation of the results of quantitative analysis.
- Overview of other methods of quantitative research.
