Overview
Aims
The general aim of the discipline consists in forming data analysis skills in order to understand the fundamental concepts, theories, and methods in the field and the specialty area and to use them in order to explain and interpret various types of concepts and processes associated to the field.
The course transfers knowledge about the fundamental concepts in statistics and forms skills for statistical data processing and analysis, in order to acquire the capacity to analyze and interpret statistical results.
Also, estimation capacities are developed in order to make the inference of the information, from the sample to the entire population.
Course contents
I. Main concepts in statistics II. Observation, systematization and graphical representation of the statistical data III. Statistical parameters IV. Correlation and regression V. Introduction to inferential statistics
Learning outcomes
• assimilating fundamental knowledge in the field of economic statistics, starting with aspects of descriptive statistics up to aspects about inferential statistics; • forming aptitudes needed for statistical data processing and analysis; • developing the capacity to relate to standards connected with rigor and accuracy in data analysis.
Assessment
- Final evaluation– written exam (90% of the final grade)- Continuous assessment (10% of the final grade)