- Docente: Meri Raggi
- Credits: 10
- SSD: SECS-S/01
- Language: Italian
- Moduli: Meri Raggi (Modulo 1) Meri Raggi (Modulo 2)
- Teaching Mode: Traditional lectures (Modulo 1) Traditional lectures (Modulo 2)
- Campus: Bologna
- Corso: First cycle degree programme (L) in Business Administration (cod. 8871)
Course contents
Statistical variables. Population and sample. Collecting and organizing data. Data set and frequency distributions. Graphic representations. Mean values, mode, median and quantiles. Eterogeneity, variability and inequality measures. Shape: asimmetry and curtosis. Bivariate statistical analysis. Relationships between variables: statistical dependence, covariance and linear correlation. Simple linear regression. Introduction to sampling and statistical inference. Bayesian theorem. Random variables and probability distributions. Sampling. Point and interval estimation. Hypothesis testing. Linear regression models.
Readings/Bibliography
Student could chose a book in statistics. Some example are:
Borra S., Di Ciaccio A. (2020). Statistica, metodologie per le scienze economiche e sociali, McGraw-Hill.
Levine D.M., Szabat K., Stephan D.F. (2018). Statistica, Pearson.
Pacini B., Raggi M. (2009). Statistica per l'analisi operativa dei dati, Carocci Editore.
Piccolo D. (2010.) Statistica, Il Mulino.
Sullivan M., Zavarrone E. (2015). Fondamenti di statistica, Pearson.
Additional teaching material will be available at e-learning Platform VIRTUALE
Office hours
See the website of Meri Raggi
SDGs
This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.