- Docente: Anna Gloria Billè
- Credits: 3
- SSD: SECS-S/03
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Rimini
- Corso: Second cycle degree programme (LM) in Business Administration and Management (cod. 8842)
Learning outcomes
Upon completion of the course, students will have acquired the statistical, computer science, and interpretative skills essential for the quantitative analysis of economic and business phenomena. Specifically, students will be able to: - use statistical methodologies to analyze real-world phenomena in various application areas; - manage the most widely used and recently developed statistical software; - perform descriptive and exploratory analyses on business and economic data sets; - specify and estimate regression models for the analysis of functional dependence in economic phenomena.
Course contents
- Data managing
- Index numbers
- Descriptive statistics
- Probability
- Inference
- Regression analysis
Software R
Readings/Bibliography
Giuseppe Cicchitelli (2001), Probabiltà e Statistica, Seconda Edizione. Maggioli Editore.
Giuseppe Cicchitelli, Pierpaolo D'Urso, Marco Minozzo (2017), Statistica: principi e metodi, Terza Edizione, Pearson.
Teaching slides provided by the Professor.
Software R:
Giuseppe Espa, Rocco Micciolo (2014), Problemi ed Esperimenti di Statistica con R, Apogeo.
Teaching methods
Software Rstudio
Assessment methods
Written exam
Teaching tools
PC, videoproiettore.
Office hours
See the website of Anna Gloria Billè