|SCIENTIFIC DISCIPLINARY SECTOR||SECS-S/01|
|SECTIONING||This unit is divided into 3 sections:|
Prerequisites (for future units)
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 non-statisticians.
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.
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) multiple-choice questions of a theoretical nature.
2) theoretical questions with open answers
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.
Additional information for non-attending students
For non-attending students, no program changes or assessment procedures are applied.