Course Details

SOCIAL STATISTICS

GS1241

Course
SOCIAL STATISTICS
Code
GS1241
Academic Year
2026/2027
Curriculum Year
2026/2027
Degree Programme
ADMINISTRATION, SOCIAL SERVICES AND TERRITORY
Curriculum
000 - CORSO GENERICO
Course coordinator
-
Lecturers
Credits
6
Lecture Hours
36
Scientific Disciplinary Sector (SSD)
STAT-03/B - Social statistics
Course Type
Single-subject learning activity
Course Delivery
OBB - Obbligatoria
Year
1
Teaching period
Primo Semestre
Campus
ALESSANDRIA
Teaching language
Italian
Course Contents
Basics of Descriptive Statistics; Basics of Inference; Sampling Methods
Reference Texts
Simone Di Zio, Antonio Pacinelli: STATISTICA SOCIALE, Mondadori Università
Material prepared by the teacher and downloadable from DIR platform
Learning Outcomes
To enable students to acquire the ability to: plan a statistical survey in the social field; analyze data using statistical methods and models; prepare an analysis report
Prerequisites
It would be desirable for students to have already taken a statistics exam during their undergraduate degree.
Teaching Methods
lezioni teoriche e pratiche in aula; laboratorio in aula informatica
Additional Information
Students with physical disabilities, Learning Disabilities or Special Education Needs can request specific services and tools via the Staff Sviluppo e Coordinamento Carriere e Servizi alle Studentesse e agli Studenti, consulting the University webpage: https://www.uniupo.it/en/services/servicesstudents-physical-or-learning-disabilities Students with disabilities, learning disabilities or special education needs, once they have contacted the University Staff, can refer to the tutor in charge of the course to define the examination modalities, concerning academic aspects.
Assessment Methods
written exam concerning the solution of practical cases
Detailed Syllabus
I. Descriptive Statistics (Domain of the Certain): 1. Abstraction and Statistical Data; 2. Collecting Statistical Data; 3. Representing Statistical Data; 4. Measures of Central Tendency; 5. Measures of Variability; 6. Measures of Relationships Between Variables;
II. Statistical Inference (Domain of the Possible): 1. Probability and Random Variables; 2. Sampling Techniques; 3. Inference from "Statistical Experiments"; 4. Inference from "Finite Populations";
III. Participatory Methods: 1. Participation; 2. Participation in Public Choices and E-Participation
Expected Learning Outcomes
Students should be able to: plan a statistical survey in the social field; analyze data using statistical methods and models; prepare a report of the analysis.
Last update:09-09-2026 00:14:31