Professor
Pietro RenziLearning objectives
The course aims to provide students with the main basic tools of statistical analysis, in order to be able to perform analyses and interpret the results.
Expected learning outcomes
The course aims to provide basic methodological knowledge and statistical tools useful for understanding and organically analyzing complex realities.
Course content
Definition of statistics and its divisions.
Fields of application of statistics.
The phases of a research in statistics.
The data matrix and the measurement level of the variables.
Statistical tables and their classification.
The graphic representations.
Centrality indices.
Variability indices.
Correlation and regression.
Prerequisites
Basic knowledge of mathematics
Bibliography
Amaturo E., Aragona B., Grassia MG, Lauro CN, Marino M., (2021), Statistics for the social sciences – Second Edition, UTET University
Teaching methods and tools
The course includes theoretical lessons that will be interspersed with exercises.
Assessment methods and criteria
Mandatory written test on the entire program covered.
