00914 - Statistics

Course Unit Page

SDGs

This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.

Quality education Reduced inequalities

Academic Year 2021/2022

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