Academic Year 2019/2020

  • Teaching Mode: Traditional lectures
  • Campus: Bologna
  • Corso: First cycle degree programme (L) in Statistical Sciences (cod. 8873)

Learning outcomes

By the end of the course 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 variability measures) - measure the strength of the association between two characters observed on the same set of units.

Course contents

During the course the following topics will be addressed

· 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; R2

Readings/Bibliography

Handnotes on IOL

Making sense of data through statistics, Dorit Nevo, Legerity press

Teaching methods

Lessons and tutorials

Assessment methods

Written exam

Teaching tools

Tutorials and practicals

Office hours

See the website of Angela Montanari