00914 - Statistics (A-L)

Learning outcomes

After attending the course, students will reach a certain level of knowledge and skills for performing a quantitative analysis of a set of data. Students will be able to collect and analyse a sample of data, applying the right metodology for interpreting different phenomena from a statistical point of view.

Course contents

Reading, interpretation and representation of a set of statistical data.

Mean values and variability measures. Gini's concentration ratio. Statistical rates and ratios. Indices of heterogeneity.

Bivariate statistical analysis. Measures of association. Linear regression and correlation.

Elements of probability. Axioms and elementary probability. Discrete random variables. Continuous models used in statistical inference: Gaussian, Chi-squared and Student t-distribution.

Basic elements of statistical inference. Estimators and estimates. Point and interval estimation of a frequency and a mean value.

Hypothesis testing. Significance level and power of a test. Statistical tests for frequencies and for checking Gaussian parameters.. 

Readings/Bibliography

Maurizio Brizzi, Introduzione alla probabilità e all'inferenza statistica, Casa editrice libreriauniversitaria.it (Gruppo Webster, Limena, Padova), 2014.

A set of teaching sheets will be downloaded into Virtuale platform.

Teaching methods

Front lessons and online lessons.

Assessment methods

First session: written test composed by 2-3 short exercises.

Second session: will soon be published.

Teaching tools

A set of teaching sheets will be available to students.

Office hours

See the website of Maurizio Brizzi

See the website of Martina Narcisi