Academic year
2022/2023 Syllabus of previous years
Official course title
Course code
ET2022 (AF:359084 AR:188496)
On campus classes
ECTS credits
0 out of 12 of STATISTICS
Degree level
Bachelor's Degree Programme
Educational sector code
1st Term
Course year
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The course is one of the characterizing activities of the bachelor degree course in International Trade 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 students with knowledge for structuring, processing, analysing and solving 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
The exam of MATHEMATICS is mandatory. 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.

The list of mandatory priority exams is available on the webpage
The full 12 credit course program is as follows:

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.

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. Relationship among variables: association and test of independence.
Cicchitelli G, D'Urso P, Minozzo M (2021) Statistics. Principles and Methods.
Pearson (chapters 1-2-3-4-5-7-12-13-14-15-16-17-18-19-20-21-22)
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.

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.
Accessibility, Disability and Inclusion
Accommodation and support services for students with disabilities and students with specific learning impairments

Ca' Foscari abides by Italian Law (Law 17/1999; Law 170/2010) regarding support services and accommodation available to students with disabilities. This includes students with mobility, visual, hearing and other disabilities (Law 17/1999), and specific learning impairments (Law 170/2010). If you have a disability or impairment that requires accommodations (i.e., alternate testing, readers, note takers or interpreters) please contact the Disability and Accessibility Offices in Student Services:
written and oral
This programme is provisional and there could still be changes in its contents.
Last update of the programme: 18/07/2022