- Docente: Paola Bortot
- Credits: 8
- SSD: SECS-S/01
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: First cycle degree programme (L) in Economics and Finance (cod. 0893)
Learning outcomes
Basics concepts of probability theory and its applications.
Students will also learn basic inferential tools for point and
interval estimation and hypothesis testing under random sampling
from Gaussian and Binomial populations.
Course contents
1 – PROBABILITY
Random events, uncertainty, axioms of Probability, conditional
probability and Bayes theorem. Discrete and continuous random
variables. Laws of large numbers and Central Limit theorem.
Statistical models, population and sampling. Simple random samples and parametric inference. Parameters estimation and confidence intervals. The likelihood function. Testing statistical hypotheses; significance level and p-values. Tests for normal and binomial models. Chi-square test about independence structure for contingency tables.
Readings/Bibliography
S. Borra e A. Di Ciaccio (2008). Statistica. Metodologie per le
Scienze Economiche e Sociali (II ed.), McGraw-Hill.
Further reading:
G. Cicchitelli (2008). Statistica - Principi e Metodi, Pearson
Education.
Teaching methods
Lectures, problem classes, homework.
Assessment methods
The exam consists of a written test and an oral discussion at
lecturer's discretion.
Teaching tools
Notes, exercises and slides.
Links to further information
http://www2.stat.unibo.it/bortot/default.html
Office hours
See the website of Paola Bortot