Studying at the University of Verona

Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.

This information is intended exclusively for students already enrolled in this course.
If you are a new student interested in enrolling, you can find information about the course of study on the course page:

Laurea in Scienze dell'educazione - Enrollment from 2025/2026

The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.

CURRICULUM TIPO:

1° Year 

ModulesCreditsTAFSSD
Un insegnamento a scelta tra i seguenti
Un insegnamento a scelta tra i seguenti
9
E
L-LIN/12
9
E
L-LIN/04
9
E
L-LIN/14

2° Year   activated in the A.Y. 2010/2011

ModulesCreditsTAFSSD
Un insegnamento a scelta tra i seguenti
Un insegnamento a scelta tra i seguenti

3° Year   activated in the A.Y. 2011/2012

ModulesCreditsTAFSSD
6
B
IUS/01
Un insegnamento a scelta tra i seguenti
Un insegnamento a scelta tra i seguenti
ModulesCreditsTAFSSD
Un insegnamento a scelta tra i seguenti
Un insegnamento a scelta tra i seguenti
9
E
L-LIN/12
9
E
L-LIN/04
9
E
L-LIN/14
activated in the A.Y. 2010/2011
ModulesCreditsTAFSSD
Un insegnamento a scelta tra i seguenti
Un insegnamento a scelta tra i seguenti
activated in the A.Y. 2011/2012
ModulesCreditsTAFSSD
6
B
IUS/01
Un insegnamento a scelta tra i seguenti
Un insegnamento a scelta tra i seguenti

Legend | Type of training activity (TTA)

TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.




S Placements in companies, public or private institutions and professional associations

Teaching code

4S00784

Credits

6

Language

Italian

Scientific Disciplinary Sector (SSD)

SECS-S/05 - SOCIAL STATISTICS

Period

Sem. 2B dal Apr 23, 2012 al Jun 10, 2012.

Learning outcomes

The course aims to familiarize students with the principles and logic of scientific method, by introducing some basic concepts and tools in empirical research. Course objective is to provide a statistical vision of reality: starting with the observed variability of a phenomena, it develops a reflection on the variability and errors inherent to the process of observation and measurement, in order to understand how all the empirical knowledge is actually of sampling nature. It takes place as well as mindset and statistical tools are needed to address the study of any phenomenon. The first part of the course is structured around the concept of statistical distribution, and describes the methods for the analysis and synthesis of the information collected. In the second part of the course deals with the analysis of dependence between two variables, and discusses the concept of causality. Finally, the principles of statistical inference are presented: sample estimation and statistical testing of hypotheses, with the aim of making understood primarily their logic and meaning.

Program

  1. The principles of scientific method and the validity of a research. By formulating the research problem to hypothesis testing. Observation and measurement processes. Types of variables and measurement scales. The concept of distribution.
  2. Study of the distribution of a variable and summaries of information. Frequency tables and graphical representations. Grouping data into classes. Indices of centrality: the position and algebraic averages. Indices of variability.
  3. Transformations of variables. Standardization. Synthetic compound indexes.
  4. The normal distribution. Properties and applications.
  5. Analysis of the dependence between two variables. Frequency of double-entry tables. Conditional frequencies. Independence and association. Indices of association. Dependence on average. Correlation. The linear regression. The method of least squares. Interpretation and evaluation of the model.
  6. Sampling and Estimation. The sampling error. Property of the estimate: precision and accuracy. The bias problem. The confidence interval. How do I determine the sample size ?
  7. Statistical testing of hypotheses. Hypotheses and assumptions. The test statistic and its distribution. The statistical significance. Tests on averages and percentages.

Reference books:

  1. Borra S., Di Ciaccio A. (2004) Statistica: metodologie per le scienze economiche e sociali, McGraw-Hill.
  2. Spiegel M.R. (1994) Statistica (2ª ed.), Collana Schaum's, McGraw-Hill.

Examination Methods

Test + Oral examination.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

Teaching materials e documents