Statistics
Course objectives
-The course has the purpose of supplying the main concepts necessary to interpret and analyze statistical data. -The course will enable the student to use the appropriate methodological tools to describe a statistical population through graphical representations and appropriate indices, as well as to evaluate the potential relationship existing between statistical variables. -The contents include the descriptive statistical analysis of univariate and bivariate data and the introduction to the theory of probability theory. -Students will learn to distinguish variables on the basis of their properties and choose which analysis are possible or appropriate as a function of the variables' properties.
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
G. Cicchitelli, P. D'Urso, M. Minozzo (2017) Statistica: Principi e
metodi, terza edizione, Pearson Italia, Milano.
A. Agresti: Metodi statistici di base e avanzati (a cura di A. Petrucci e M. Porcu), Pearson, V edizione, 2022
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
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
- Subject areaformazione economico-statistica