88263 - Statistical Analysis and Modelling

Academic Year 2025/2026

  • Teaching Mode: Traditional lectures
  • Campus: Ravenna
  • Corso: Second cycle degree programme (LM) in International Cooperation on Human Rights and Intercultural Heritage (cod. 9237)

    Also valid for Campus of Bologna
    Second cycle degree programme (LM) in Sciences and Management of Nature (cod. 6774)

Learning outcomes

At the end of the course, the student learns major statistical methods to deal with ecological, economical and social data, both using univariate and multivariate approaches. The student will have the capacity to deal with the practical applications of several statisical methods to real world case and data.

Course contents

Theory: Introduction to statistics, probability and distributions, univariate statistics and related tests, bivariate statistics, multivariate statistics

Practice: statistical analysis with R


Readings/Bibliography

´P. Daalgard. “Introductory statistics with R”. Springer, 2008.

´G. Cicchitelli, P. D'Urso, M. Minozzo (2021) "Statistics - Principles and Methods", first edition. Pearson, 2021.

Teaching methods

Theory lessons and use of the R software

 

Assessment methods

The final exam is composed by two parts:

  1. Written test aimed at verifying the general theory behind the studied statistical methods: 1-hour, multiple choice and open questions test.
  2. Practical project aimed at verifying R knowledge. The practical project will be provided by the students as a PDF file presenting a discussion of the procedures and results. Students will have one week from the time the assignment is given to complete it and send it to me by email.

The written test and the practical project will each account for 50% of the final grade.

Teaching tools

Slides and R software.

Slides covering the topics discussed will be provided at the end of each lesson.

Office hours

See the website of Vincenzo Iannuzzi