00914 - Statistics

Learning outcomes

By the end of the module the student should know the basic themes of statistics either from a methodological and an applied perspective. In particular the student should be able to: - summarize statistical data using distributions and graphs - select and compute the most appropriate summary statistics (mean values and variablity measures) - measure the strength of the association between two characters observed on the same set of units.

Course contents

Statistical units and variables

The concept of natural variation

Quantitative and Qualitative data

Observed and relative frequencies

Statistical distributions

Mean values (mode, median, quantiles, arithmetic, harmonic, geometric, quadratic mean)

Variability measures (range, interquartile range, deviance, variance, standard deviation, coefficient of variability, Gini's ratio)

Graphical representations of data

Relationship between two characters

Measure of independence and its standardized forms

Simple linear regression and correlation

Readings/Bibliography

• G. Cicchitelli, Statistica, Principi e Metodi, Pearson Education Italia.
  

Teaching methods

Lectures and tutorials

Assessment methods

The learning assessment is composed by a written test lasting 2 hours. The written part is a multiple choice test aimed at assessing the student's ability to use the learned definitions and properties to solve a specific problem. Plus some exercises or theoretical questions may be given. During the written exam, students can make use of a formulary and a calculator. Students are not permitted to use a mobile phone (and smart watch or similar electronic data storage or communication device).

Teaching tools

Lecture notes

Office hours

See the website of Cinzia Viroli