CODE  48384 

ACADEMIC YEAR  2023/2024 
CREDITS 

SCIENTIFIC DISCIPLINARY SECTOR  SECSS/01 
TEACHING LOCATION 

SEMESTER  2° Semester 
TEACHING MATERIALS  AULAWEB 
OVERVIEW
Introduction to Statistical Inference
AIMS AND CONTENT
LEARNING OUTCOMES
a) To provide an introduction to concepts and techniques from statistical inference which are fundamental to provide a probabilistic measure of the error committed when estimation is based on a sample from a large population. b) To deal with theoretical and practical elements of the design, analysis and inference of survey data obtained by probabilistic sampling.
AIMS AND LEARNING OUTCOMES
At the end of the course students will be able:
 to explain the key points defining exploratory data analysis versus statistical inference based on finite samples
 to possess the main concepts and techniques for computing point estimates, confidence intervals and performing hypothesis testing and for evaluating them
 to identify the suitable statistical technique and perform the analysis of simple data sets.
By participating to the work groups, debating solution strategies and their presentation, comparing the learning strategies of the different members of the group also with the feedback from the individual mock exams, at the end of the course the student will have acquired the following skills at a basic level at a basic level
 alphabeticalfunctional
 personal competence
 ability to learn to learn
 social competence
PREREQUISITES
Mathematical Analysis: function of a variable, integral calculus.
Algebra: elements of vector and matrix algebra.
Probability: elementary probability
TEACHING METHODS
Combination of traditional lectures (40 hours) and exercises sessions (24 hours)
Four guided group exercises to develop basic literacy skills, personal competence, ability to learn to learn, social competence.
SYLLABUS/CONTENT
Estimation. Populations, samples, sources of uncertainty and point estimators. Properties of point estimators. Delta method. Some point estimators and their probability distributions. Confidence intervals.
Hypothesis tests. How to define and use a statistical test (hypotheses, errors of the first and second type, critical region). Parametric tests. Tests of large samples. Comparative tests. Some nonparametric tests.
Statistics and tests for linear multiple models. Confidence intervals for the parameters, estimated values and residuals, "studentized" residuals, test of hypotheses on single coefficients and on subsets of coefficients. Forecast.
RECOMMENDED READING/BIBLIOGRAPHY
1. Casella G., Berger R.L. (2002), Statistical Inference, Pacific Grove, CA: Duxbury
2. Mood A.M., Graybill F.A., Boes D.C. (1991), Introduction to the Theory of Statistics, McGrawHill, Inc.
3. Ross S.M. (2003), Probabilità e statistica per l’ingegneria e le scienze, Apogeo, Milano
4. Wasserman L. (2005), All of Statistics, Springer
TEACHERS AND EXAM BOARD
Ricevimento: For organizational issues contact by email Eva Riccomagno <riccomagno@dima.unige.it>
Ricevimento: by appointment
Ricevimento: By appointment arranged by email at the adress sommriva@dima.unige.it
Exam Board
EVA RICCOMAGNO (President)
GIACOMO LANCIA
GABRIELE MOSAICO (President Substitute)
SARA SOMMARIVA (President Substitute)
LESSONS
LESSONS START
According to the academic calendar
Class schedule
L'orario di tutti gli insegnamenti è consultabile all'indirizzo EasyAcademy.
EXAMS
EXAM DESCRIPTION
The exam consists of a written and a oral part.
During the semester there will be three (not evaluated) mock exams. The lecture after each mock exam will start with a 15minute closedbook written examination.
The first two closedbook examinations are evaluated at most 3 marks and the third one at most 2 marks, for a maximum total of 8 marks.
For the students who attempted all of the three closedbook examinations, the final written examination consists of a 2hour open book examination, which is evaluated at most 23 marks to be added to the marks of the three oncourse closedbook examinations.
For the students who did not attempt the three closedbook examinations, the final written examination consists of two parts: a 45minute closedbook examination and a 2hour openbook examination. The closedbook part is evaluated at most 8 points, the openbook part is evaluated at most 23 points.
To be admitted to the oral examination, are required either a total of 5 points from the intermediate exams or a total of 16 points from the two parts of the written exam.
The mark obtained from the intermediate exams are valid until February. The mark from the written parts is valid only once.
ASSESSMENT METHODS
The oncourse examination and the closedbook part of the final examination test the comprehension of the theory.
The twohour openbook examination evaluates the acquired ability to apply the theoretical ideas for simple data analysis.
Exam schedule
Data  Ora  Luogo  Degree type  Note 

22/01/2024  09:00  GENOVA  Scritto  riservata agli studenti iscritti a.a.2022/23 e aa.aa. precedenti 
15/02/2024  09:00  GENOVA  Scritto  riservata agli studenti iscritti a.a.2022/23 e aa.aa. precedenti 
17/06/2024  09:00  GENOVA  Scritto  
22/07/2024  09:00  GENOVA  Scritto  
13/09/2024  09:00  GENOVA  Scritto 
FURTHER INFORMATION
Students with DSA, disability or other special educational needs are recommended to contact the teacher at the beginning of the course, in order to organize teaching and assessment, taking in account both the class aims and the student's needs and providing suitable compensatory instruments.
Upon request by the students, the lectures and/or the exam can be held in English.