Academic year
2017/2018 Syllabus of previous years
Official course title
Course code
ET0060 (AF:231026 AR:128796)
On campus classes
ECTS credits
6 out of 12 of STATISTICS
Degree level
Bachelor's Degree Programme
Educational sector code
2nd Term
Course year
Go to Moodle page
The course is an introduction to the statistical methods most commonly used in economics and business.
Students must pass the exam of Mathematics [ET0045] before giving the exam of Statistics.
The full 12 credit course programme is:

1. Introduction to statistical methodology.
2. Probability theory: basic concepts, conditional probability and stochastic independence, Bayes theorem.
3. Discrete and continuous random variables.
4. Descriptive statistics: data collection and classification, frequency distributions, statistical indices and graphical tools.
5. Statistical inference: point and interval estimation; testing statistical hypotheses.
6. Interactions among variables.
Boella M., Probabilità e Statistica per ingegneria e scienze. Pearson - Prentice Hall. I ed. 2011. Chapter 1 (escluso paragrafo 1.8); Chapter 2 (sections 2.5.3 , 2.6.2, 2.6.6. and 2.8 can be omitted); Chapter. 3 (sections 3.1.3, 3.1.4, 3.5 can be omitted); Chapter 4 (sections 4.4, 4.6, 4.7.2 and 4.8 can be omitted); Chapter. 5 (section 5.3.3 can be omitted); Chapter 6 (sections 6.2, 6.3.3 and 6.4.2 can be omitted); Chapter 7 (sections 7.3.3, 7.4.4, 7.4.5 and 7.4.6 can be omitted); Appendix A, Appendix B (section B.4.2 can be omitted), Appendix C, Appendix D (sections from D.6 to D.13 can be omitted)

Further readings (exercises and applications):
Grigoletto M., Ventura L., Statistica per le Scienze Economiche: Esercizi con Richiami di Teoria, Giappichelli, 1998
Pauli F., Trevisani M., Torelli N., Statistica: esercizi ed esempi, Pearson, 2008
Students must pass a written, open book, exam consisting in multiple answer questions and exercises. Examples of past exams are available on Moodle e-learning platform (
Lectures, classroom exercises and web-based training (
Students are invited to enrol to the course at
  • Course with sustainable contents
  • University credits of sustainability: 12
  • Lecture notes, material for reference or for self-assessment available online or as e-book
  • E-learning, moodle platforms
  • Use of open-source software
Last update of the programme: 07/07/2017