The course aims to provide students with the knowledge and methodological tools necessary to critically analyze and evaluate the results of information characterized by variability and uncertainty. At the end of the course, students will be required to demonstrate:
The course requires basic logical and mathematical knowledge, as well as the ability to study textbook materials.
The teaching activity will focus on understanding the fundamental theoretical concepts of statistics (such as probability, variability, correlation, association, distribution, and statistical synthesis) and interpreting statistical synthesis indicators for the analysis and comparison of collective phenomena. Examples from the socio-political and economic spheres will be used throughout the semester.
The assessment of the knowledge acquired will be done through an oral exam.
The course provides students with a fundamental understanding of descriptive and inferential statistics, with a particular emphasis on the application of these concepts in the context of political science. At the end of the course, students will be able to appropriately address the variability and uncertainty of statistical data.
Lectures will focus on understanding the fundamental theoretical concepts of statistics (such as probability, variability, correlation, association, distribution, and statistical synthesis) and interpreting statistical synthesis indicators for the analysis and comparison of collective phenomena.
The assessment of the knowledge acquired will be done through an oral exam.
Italian
