AIMS AND CONTENT

AIMS AND LEARNING OUTCOMES

Knowledge and understanding: Students will know the main tools for generalizing what is observed through sample surveys.
Ability to apply knowledge and understanding: Students will be able to model random events and apply some statistical inference tools to solve simple economic statistics problems.
Independence of judgement: Students must be able to use the knowledge acquired both on a conceptual and operational level with independent evaluation ability and ability in different application contexts.
Communication skills: Students will acquire the technical language typical of inferential statistics, to communicate clearly and unambiguously with specialist and non-specialist interlocutors.
Learning skills: Students will develop adequate learning skills that allow them to continue to explore the subject independently.

TEACHING METHODS

Classical lessons and exercises. Since the training objectives concern both theoretical and applicative skills, theoretical lessons, where the methodological aspects of inferential statistics are presented, will be alternated with exercises, in which numerical problems are addressed and examples of simple analyzes on real data are presented.

Students who have valid certification of physical or learning disabilities  and who wish to discuss possible accommodations or other circumstances regarding lectures, coursework and exams, should speak both with the instructor and with Professor Serena Scotto (scotto@economia.unige.it), the Department’s disability liaison.

SYLLABUS/CONTENT

II Module
Part I: Calculation of probabilities
1. Introduction and types of sampling
2. Events and event algebra
3. Kolmogorov axioms
4. Combinatorial calculation
5. Conditional probability and independence
6. Bayes' theorem
7. Discrete and continuous random variables
1. V.C. of Bernoulli and Binomial
2. V.C. Negative geometric and binomial
3. V.C Hypergeometric
4. V.C. of Poisson
5. V.C. Exponential
6. V.C. Normal
7. V.C Lognormal
Part II: Introduction to statistical inference
1. Point estimate and Central Limit Theorem
2. Estimation by intervals
3. Statistical tests

RECOMMENDED READING/BIBLIOGRAPHY

INFERENZA STATISTICA - Un’introduzione per le scienze economiche e aziendali

di Daniele De Martini, ed. Esculapio, 2024

TEACHERS AND EXAM BOARD

Exam Board

MARTA NAI RUSCONE (President)

DANIELE DE MARTINI (President Substitute)

LESSONS

LESSONS START

15/9/2024

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

The exam consists of exercises to be carried out in writing

ASSESSMENT METHODS

The written exam tests consist of:

1) multiple choice theoretical questions

2) open-ended theoretical questions

3) numerical exercises

4) essay on economic statistics topics

The questions and exercises are chosen so as to cover, as far as possible, all the topics of the exam programme. The theoretical questions are used to evaluate the student's level of understanding, while the exercises are used to measure the ability to apply the knowledge acquired. The thesis concerns an application of the topics covered.

Exam schedule