- Docente: Alessandro Baldi Antognini
- Credits: 5
- SSD: SECS-S/01
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Economics and Economic Policy (cod. 8420)
Learning outcomes
Knowledge of elementary proabability theory and statistical tools (descriptive statistics and inference for normal and binomial models). The student should be able to solve simple practical problems
Course contents
Descriptive statistics: central measures, dispersion indicators and graphical representations
Multivariate statistics: independence, association and correlation.
Linear model and generalized linear model
Basic probability theory: sample space and events, the axioms of
probability theory, conditional probability and Bayes' Theorem.
Random variables (discrete and continuous), expectation and
variance. Independence and sequence of random variables: strong law
of large numbers and central limit theorem.
Introduction to statistical inference.
Readings/Bibliography
S. Borra e A. Di Ciaccio (2008) Statistica. Metodologie per le
Scienze Economiche e Sociali (II ed.), McGraw-Hill.
G. Cicchitelli (2008) Statistica - Principi e Metodi, Pearson
Education
Teaching methods
Lectures, problem classes, homework
Assessment methods
Written test.
Grades:
<18 fail
18-23 pass
24-26 satisfactory
27-28 good
29-30 very good
30 e lode excellent
Teaching tools
Notes, exercises and slides
Office hours
See the website of Alessandro Baldi Antognini
SDGs
This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.