Statistics

Course objectives

Course Objective: To provide a solid theoretical foundation and the essential tools for statistical analysis. Specifically: Knowledge and Understanding: Students who successfully complete the course will acquire familiarity with the main tools of statistics, encompassing both descriptive methods and the fundamentals of statistical inference. Topics covered include: introductory concepts; statistical distributions and graphical representations; measures of central tendency, variability, and other distribution characteristics; bivariate analysis including dependence, regression, and correlation; basic probability theory; random variables and probability distributions; sampling methods and sampling distributions; and the principles of statistical inference.Ability to Apply Knowledge and Skills:By the end of the course, students will be able to identify and apply the most suitable statistical tools to analyze phenomena relevant to political science, using tabular and graphical summaries, statistical indices, and inferential procedures. Critical Thinking and Judgment: Students will develop the ability to critically evaluate the outcomes of statistical analyses, supported by hands-on examples and classroom discussions led by the instructor. Communication Skills: Students will be able to clearly and accurately communicate statistical methods and empirical results using appropriate scientific language. This skill will be fostered through in-class exercises and the preparation of supplementary materials, such as worked examples. Independent Learning Ability: Students will be equipped to continue studying statistics independently, deepening their understanding of more advanced topics through recommended readings and supplementary resources.

Channel 1
EDOARDO OTRANTO Lecturers' profile

Program - Frequency - Exams

Course program
introductory concepts; statistical distributions and graphical representations; measures of central tendency, variability, and other distribution characteristics; bivariate analysis including dependence, regression, and correlation; basic probability theory; random variables and probability distributions; sampling methods and sampling distributions; principles of statistical inference.
Prerequisites
No special prerequisites are required
Books
M. Minozzo, P. D'Urso, G. Cicchitelli (2021) Statistics: Principles and Methods, Pearson
Frequency
Attendance, while not mandatory, is strongly recommended.
Exam mode
The test consists of 8 closed and 2 open-ended theoretical questions and 2 exercises
Bibliography
A. Agresti Statistical Methods for the Social Sciences, Pearson, 2024
Lesson mode
Lectures with practical exercises, also with Excel
  • Lesson code1010575
  • Academic year2025/2026
  • CourseAdministrative, Political and Economic Sciences
  • CurriculumScienze Politiche Amministrative ed Economiche (percorso valido per la partecipazione al percorso internazionale italo-francese, che prevede il conseguimento della laurea e del Certificat d'Etudes Politiques francese)
  • Year1st year
  • Semester2nd semester
  • SSDSECS-S/01
  • CFU9