The Statistics 1 course aims to equip students with the main tools for the quantitative analysis of economic and social phenomena and lay the necessary foundations to tackle the other quantitative courses of the Course of Studies.
The main aim of the course is to provide students with the fundamental tools of descriptive and inferential statistical analysis. The first part - Elements of descriptive statistics - relates to the fundamental concepts of univariate and bivariate descriptive statistics and is essential for any subsequent study. The second part - Introduction to probability theory - is designed to present the basic ideas needed for the study of statistical inference. The third part - Introduction to statistical inference - addresses the fundamental issues of sampling and inference, with particular regard to the theory of estimation and hypothesis testing.
Knowledge and understanding: Students will know the main tools for synthesizing information and generalizing what is observed through sample surveys.
Ability to apply knowledge and understanding: Students will be able to reorganize data in univariate and bivariate frequency tables providing adequate graphical representation, carry out basic descriptive analyzes for one-dimensional phenomena, analyze the relationships between two or more phenomena with particular reference to the dependence and linear regression analysis. They will also be able to apply some statistical inference tools to solve simple 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 the discipline 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.
The teaching presupposes knowledge of the basic contents of a course in General Mathematics for economic or business degree courses.
Lessons and exercises. Since the training objectives concern both theoretical and applicative skills, the lessons in which the methodological aspects of statistics are presented will be alternated with exercises in which numerical problems and examples of simple analyzes on real data are addressed.
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.
Part I: Descriptive statistics
Part II: Probability
Part III: Inference
Part IV: Relationships between variables
"Statistica"; Newbold, Carlson, Thorne, Nona edizione, ed. Pearson (2021). Per gli studenti stranieri è possibile fare riferimento al testo originale in lingua inglese.
"Introduzione alla statistica inferenziale - per le scienze economiche e aziendali"; D. De Martini, ed. Esculapio (2024).
Ricevimento: See the course webpage on aulaweb.
DANIELE DE MARTINI (President)
MARTA NAI RUSCONE
FABIO RAPALLO
Lessons begin in the first week of the second semester as per the Department teaching calendar.
The examination consists of a written test. An additional discussion may be requested at the discretion of the examination committee.
The written exam consists of:
1) multiple choice theoretical questions
2) open-ended theoretical questions
2) exercises
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.
