CODE  60083 

ACADEMIC YEAR  2022/2023 
CREDITS 

SCIENTIFIC DISCIPLINARY SECTOR  SECSS/01 
LANGUAGE  Italian 
TEACHING LOCATION 

SEMESTER  2° Semester 
SECTIONING  This unit is divided into 3 sections: 
PREREQUISITES 
Prerequisites
You can take the exam for this unit if you passed the following exam(s):
Prerequisites (for future units)
This unit is a prerequisite for:

TEACHING MATERIALS  AULAWEB 
The course “Statistics 1” aims to provide students with the main tools for the quantitative analysis of economic and social phenomena, and to supply the basic statistical knowledge needed to face the other quantitative courses of the Degree Programme.
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 used to summarize the information and for the generalization of the information 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 representations; carry out basic descriptive analyses for univariate phenomena; analyze the relationships between two or more phenomena with particular emphasis on association and linear regression analysis. They will also be able to apply some statistical inference tools to solve simple problems.
Making judgements: Students must be able to use the acquired knowledge both on a theoretical and operational level with autonomous assessment skills, in various applicative contexts.
Communication skills: Students will acquire the technical language typical of the discipline to communicate clearly and without ambiguity with both statisticians and nonstatisticians.
Learning skills: Students will develop adequate learning skills that allow them to continue to study the subject independently.
Connections of the course with other courses in the programme: The topics introduced in this course will allow the students to properly understand numerical data within other disciplines and will put the bases to study and analyze quantitative methods in other quantitative courses.
The course requires knowledge of the basic skills of a course of General Mathematics for Business and/or Economics.
Traditional lessons and exercises and through AulaWeb. Since the training objectives concern both theoretical and applicative skills, there will be both lessons focused on the methodological aspects of statistics and lessons based on exercises in which numerical problems are faced and examples of simple analyzes on real data are discussed.
Due to the Covid19 pandemic, students will be informed via email and AulaWeb messages on the actual method of the lessons (in person or remotely).
Part I: Elements of descriptive statistics
Part II: Probability
Part III: Introduction to statistical inference
Foreign students are asked to contact the teachers to agree on the textbook in English language.
Office hours: By appointment arranged by email fabio.rapallo@unige.it
FABIO RAPALLO (President)
DANIELE DE MARTINI
MARTA NAI RUSCONE
Classes will start in the first week of the second semester according to the calendar of the Department of Economics.
The examination consists of a written test which includes:
1) multiplechoice questions of a theoretical nature.
2) theoretical questions with open answers
3) exercises
The examination regulations are published on the course's Aulaweb page.
As a result of the COVID 19 pandemic, the examination procedures may change in relation to the University regulations.
The questions and exercises in the written exam are chosen to cover, as far as possible, all the topics of the program. The theoretical questions are used to assess the student's level of understanding, while the exercises are used to measure the ability to apply the acquired knowledge. The details on the exam preparation and the required level of detail for all the topics will be illustrated during the lectures.
Date  Time  Location  Type  Notes 

17/01/2023  09:30  GENOVA  Scritto  
31/01/2023  09:30  GENOVA  Scritto  
14/02/2023  09:30  GENOVA  Scritto  
13/06/2023  09:30  GENOVA  Scritto  
27/06/2023  09:30  GENOVA  Scritto  
11/07/2023  09:30  GENOVA  Scritto  
12/09/2023  09:30  GENOVA  Scritto 
Additional information for nonattending students
For nonattending students, no program changes or assessment procedures are applied.