- Docente: Simone Tiberi
- Credits: 6
- SSD: STAT-01/A
- Language: English
- Teaching Mode: In-person learning (entirely or partially)
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Law, Economics and Governance (cod. 6829)
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from Nov 09, 2026 to Dec 10, 2026
Learning outcomes
At the end of the module, students: - know the most relevant univariate and multivariate analytical techniques and tools; - can perform statistical analyses of cross-sector and longitudinal data and deliver suitable graphic representations, making results comprehensible to organizations’ decision makers.
Course contents
- Introduction to data: Data basics; Sampling principles; Experiments and observational studies
- Summarizing data: Examining numerical data; Considering categorical data
- Random variables: Discrete and continuous; Expectation;
- Distributions of random variables: Normal; Geometric; Bernoulli; Binomial
- Foundations for inference: Point estimates; Confidence intervals; Hypothesis testing
- Linear Regression
Readings/Bibliography
David M Diez, Christopher D Barr, Mine C ̧etinkaya-Rundel, OpenIntro Statistics.
You can download a free pdf version here: https://openintro.org/book/os/
Teaching methods
Lectures.
Assessment methods
Written exam (1.5 h), with multiple open questions about all topics covered.
The written exam may be replaced by an oral exam (of equal complexity) if 5 or fewer students register for an exam session.
Teaching tools
Virtuale (virtuale.unibo.it) contains all the material used during the classes.
Office hours
See the website of Simone Tiberi