- Docente: Angelo Fabbri
- Credits: 6
- SSD: MAT/03
- Language: Italian
- Moduli: Eleonora Iaccheri (Modulo 1) Angelo Fabbri (Modulo 2)
- Teaching Mode: Traditional lectures (Modulo 1) Traditional lectures (Modulo 2)
- Campus: Bologna
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Corso:
First cycle degree programme (L) in
Marketing and Economics of the Agro-Industrial System (cod. 5833)
Also valid for First cycle degree programme (L) in Land and Agro-Forestry Technologies (cod. 5831)
Learning outcomes
MATHEMATICS and STATISTICS - 8CFU
At the end of the course the student knows the technical mathematical tools and their use, as well as the main methods and basic tools for the quantitative study of collective phenomena. The student is then able to set up and solve problems and to assimilate new concepts from the experience and previous knowledge, to produce and process statistical data independently, developing the ability of interpretation and critical assessment of statistical information.Course contents
Matematics
Simple algebra. Calculus. Simple One real variable functions study. Descriptive statistics. Discrete frequency distribution. Index numbers. Correlation and regression. Simple applications of statistical software.
The Basic of Statistics teaching unit is part of the STAAF Degree Course but not of the EMSA Degree Course.
Descriptive statistics
One-dimensional variables: Absolute frequencies, relative frequencies, cumulative frequencies. Location measures. Variability measures. Graphical representation of data. Two-dimensional variables: Bivariate frequency distributions. Marginal distributions, conditional distributions. Relationships between two variables: dependence, linear regression, linear correlation
Readings/Bibliography
Teacher booklet available on teacher website.
Possible in-depth study reference books:
- Statistica, Murray R. Spiegel; Ed. Mc Graw Hill
- Bergamini, Trifone, Barozzi: Moduli blu di Matematica; Ed. Zanichelli
- Thomas' Calculus; Ed. Pearson
-Mecatti, F. (2015), Statistica di base. Come, quando e perché. (II edizione)
Teaching methods
Room lessons and practice on PCs.
Assessment methods
Final examination made by a multiple choice test (https://eol.unibo.it).
Subscription to examination list is made by Almaesami services (https://almaesami.unibo.it).
Considering the Statistics test, the student will be asked ten questions regarding the topics covered during the course.
Teaching tools
Blackboard; video projector; PC; Internet access; computer lab; software [particularly Excel (Microsoft)].
Links to further information
https://angelofabbri.altervista.org/
Office hours
See the website of Angelo Fabbri
See the website of Eleonora Iaccheri
SDGs

This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.