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Module general introduction
This module introduces statistical methods applied in economics. It equips learners with tools to summarize, interpret, and analyze economic data, supporting decision-making and forecasting.
Module general aims
- Provide foundational knowledge of descriptive and inferential statistics.
- Develop skills in probability, correlation, regression, and time series analysis.
- Enable application of statistical techniques to real-world economic problems.
Module general learning outcomes
By the end of the module, students should be able to:
1. Summarize and interpret economic data using measures of central tendency and dispersion.
2. Apply probability theory to economic decision-making.
3. Analyze economic trends using time series methods.
4. Use statistical tools for hypothesis testing, correlation, and regression.
Module facilitator:
Mr. Alex B. KABUTO
Tel: 0782147719
E – mail: a.kabuto@ur.ac.rw
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