- Docente: Elisabetta Carfagna
- Credits: 10
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: First cycle degree programme (L) in Political, Social and International Sciences (cod. 8853)
Learning outcomes
The course provides an introduction to the main methods and basic tools of the quantitative study of collective phenomena, with the dual objective of developing the ability to critically interpret and evaluate statistical information and provide the student with specific skills for autonomous production and processing of statistical data. At the end of the course the student is expected to: - know the basic elements of descriptive and inferential statistics, - be able to read and understand articles in magazines and / or specialized publications containing results of quantitative analysis, - be able to critically evaluate syntheses and statistical elaborations of census data or samples, - has acquired the necessary skills to autonomously apply some of the tools of the statistical methodology for the description and the quantitative study of economic and social phenomena.
Course contents
Univariate descriptive statistics
Statistical distributions.
Statistical tables and graphs. Parametric and analytical representation.
Variability measures, Shape indices, Relationships among parameters.
Index numbers.
Bivariate descriptive statistics
Analysis of dependence and interdependence between variables.
Probability
Definitions of probability.
Discrete and continuous random variables, probability functions, probability density and distribution.
Some particular probability distributions.
Central limit theorem.
Population, sample, sample distributions.
Statistical inference
Point estimates
Statistical tests on parameters test of independence for categorical variables.
Readings/Bibliography
Giuseppe Cicchitelli, Statistica: principi e metodi. Pearson publisher, second edition, 2012 or later editions.
Teaching methods
Lectures and practical
Assessment methods
Oral exam
Teaching tools
PowerPoint files that will not be made available
Office hours
See the website of Elisabetta Carfagna
SDGs
This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.