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
This module is designed to help you understand core concepts step by step, from opportunity cost and supply-demand equilibrium to market structures and firm behavior, using clear derivations and practical examples. By the end of this module, you will have gained the analytical skills and confidence to apply microeconomic theory to real-world economic problems. This module will be facilitated by:
1.NDISANZE Onesme: 0785618256, ndisanzeonesme@gmail.com 2.KABUTO B. 2.Alex:0782147719, alexbarigyekabuto@gmail.co