Academic year
2020/2021 Syllabus of previous years
Official course title
Course code
ET2022 (AF:303721 AR:167432)
On campus classes
ECTS credits
6 out of 12 of STATISTICS
Degree level
Bachelor's Degree Programme
Educational sector code
1st Term
Course year
Go to Moodle page
The course is one of the characterizing activities of the degree course in Economics and Commerce that allows students to acquire knowledge and understanding of the main statistical concepts and their use in economic disciplines.
The aim of the course is to provide knowledge of analysis and management of data in order to enable students to develop the skills that enable them to structure, process, statistically analyze data to solve some inferential problems that arise in the economic and management field.
Frontal lectures, the study and analysis of the reference texts and the suggested materials, will allow students to:

1. Knowledge and understanding

1.1 know and use the main statistical tools necessary for the analysis of economic phenomena in their various manifestations

2. Ability to apply knowledge and understanding

2.1 know how to interpret the main relative economic phenomena to the functioning of markets and businesses through the application of statistical tools
2.2 provide a summary of data on economic phenomena

3. Making judgements

3.1 critically evaluate the different scenarios in the economic decision-making process and in the management of uncertainty

To have achieved the learning outcomes of the mathematics course. In particular, the student should master the concepts and methods related to the systems of equations and inequalities as well as to the integral calculus.
Good knowledge of set theory.
A: for Statistics -1
1. Introduction to statistical methodology.
2. Descriptive statistics in order to be able to interpret the main economic phenomena related to the functioning of markets and businesses through the application of statistical tools: classification and data collection; in order to summarize the data related to economic phenomena: frequency distributions, statistical indices.
3. Probability theory and random variables as an introduction to statistical inference: basic concepts, conditional probability and stochastic independence, Bayes theorem, common probability distributions.

B: for Statistics -2
4. Statistical inference to critically evaluate the different scenarios in the economic decision-making context and in the management of uncertainty: point and interval estimation; hypothesis testing.
5. Study cases: interactions among variables, connection and regression.
Keying E. Ye, Ronald E. Walpole, Raymond H. Myers, Sharon L. Myers Probability & Statistics for Engineers & Scientists, Global Edition, 9/E 2017, Pearson: chap. 1-11.
The verification of learning takes place through a written test. The written test consists of two parts: a first part with multiple-choice questions in order to verify the mastery of a minimum set of basic knowledge and a second part of exercises with the purpose of ascertaining the skills acquired in solving problems of probability calculus, descriptive and inferential statistics.
The written test can be replaced by two intermediate tests. The first partial test will be held at the end of the first period of lessons (the access modalities will be communicated at the beginning of the course); the student who will receive a positive evaluation in the first test, will be able to access the second partial test which will be provided only during the exam dates scheduled for January / February (the student can access the second partial test only once).
During the written test the use of books, notes, electronic media is not allowed.
The course consists of frontal lessons. Teaching modules are available on the e-learning platform. Students must register for the moodle platform during the first lesson period.

Students are required to register on the e-learning platform ( Access information will be provided at the beginning of the course.
written and oral
Definitive programme.
Last update of the programme: 20/04/2020