STATISTICS - 2

Academic year
2017/2018 Syllabus of previous years
Official course title
STATISTICA - 2
Course code
ET0060 (AF:231026 AR:128796)
Modality
On campus classes
ECTS credits
6 out of 12 of STATISTICS
Subdivision
Degree level
Bachelor's Degree Programme
Educational sector code
SECS-S/01
Period
2nd Term
Course year
2
Where
VENEZIA
Moodle
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.
Textbooks:
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
written
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 (moodle.unive.it).
Lectures, classroom exercises and web-based training (moodle.unive.it).
Italian
Students are invited to enrol to the course at moodle.unive.it.
  • 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