- Docente: Simone Tiberi
- Credits: 6
- SSD: SECS-S/01
- Language: English
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Law, Economics and Governance (cod. 5811)
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from Nov 13, 2024 to Dec 13, 2024
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
- Probability: Defining probability; Conditional probability; Bayes theorem
- Random variables: Discrete and continuous; Expectation; Linear combination; Central limit theorem
- Distributions of random variables: Normal; Geometric; Binomial
- Foundations for inference: Point estimates and sampling variability; Confidence intervals; Hypothesis testing
Readings/Bibliography
David M Diez, Christopher D Barr, Mine C ̧etinkaya-Rundel (2015). OpenIntro Statistics (Fourth Edition).
You can download a free pdf version here: https://openintro.org/book/os/
Teaching methods
Lectures.
Assessment methods
Written exam, 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.
Office hours
See the website of Simone Tiberi