Quantitative methods

A.A. 2018/2019
Insegnamento per
12
Crediti massimi
80
Ore totali
SSD
SECS-S/01 SECS-S/03
Lingua
Inglese

Struttura insegnamento e programma

Edizione attiva
Responsabile
Moduli o unità didattiche
Module 1
SECS-S/01 - STATISTICA - CFU: 6
Lezioni: 40 ore
Docente: Salini Silvia

Module 2
SECS-S/03 - STATISTICA ECONOMICA - CFU: 6
Lezioni: 40 ore

STUDENTI FREQUENTANTI
Informazioni sul programma
Collection, preparation and quality control of data

Review of Iinference and Bivariate Analysis
- Sampling, probability and Inference
- Correlation and regression
- Association
- Conforted medium

Multiple linear regression
Models for categorical response variables
Factor analysis and principal components analysis
Correspondence analysis
Cluster analysis

Case study

SPSS software will be used
Propedeuticità
The concepts imparted during a basic 9-year Bachelor of Statistics course are considered acquired.
In particular:
- classification of characters and graphic representations
- position and variability indices
- elements of probability calculation
- random variables (see Bernoulli, Binomiale and Normal)
- sample distributions (see sample media, see sample proportion, see sample variance)
- estimation theory
Prerequisiti e modalità di esame
The exam will consist of a written test, aimed at verifying the acquired knowledge of the topics covered during the course and, on the other, to demonstrate, in the laboratory, to be able to analyze the data available and identify, implementing them, the methods suitable to solve the proposed questions. In both tests a sufficient score will have to be achieved. On the first module there will be multiple-choice questions and some practical exercises, on the second module a series of analyzes to be performed with SPSS and commented.
Metodi didattici
Each topic will be be presented during the classical lectures and will be applied during the lab lectures.
Real data sets will be considered and case studies presented.
Module 1
Programma
Collection, preparation and quality control of data

Review of Iinference and Bivariate Analysis
- Sampling, probability and Inference
- Correlation and regression
- Association
- Conforted medium

SPSS software will be used
Metodi didattici
Each topic will be be presented during the classical lectures and will be applied during the lab lectures.
Real data sets will be considered and case studies presented.
Materiale didattico e bibliografia
"Statistics for Marketing and Consumer Research", by M. Mazzocchi, Sage Publications, 2013 - ISBN 978-1-4129-1121-4
Collection, preparation and control of data (Chapter 1, 2, 3, 4)
Sampling, probability and Inference (chapter 5, 6, 7)
Correlation and regression (chapter 8)
Association (chapter 9)

Slides, Excercises, Lab tutorial with SPSS will be available on the web page
Module 2
Programma
Multiple linear regression
Models for categorical response variables
Factor analysis and principal components analysis
Correspondence analysis
Cluster analysis

Case study

SPSS software will be used
Metodi didattici
Each topic will be be presented during the classical lectures and will be applied during the lab lectures.
REal data sets will be considered and case studies presented.
Materiale didattico e bibliografia
"Statistics for Marketing and Consumer Research", by M. Mazzocchi, Sage Publications, 2013 - ISBN 978-1-4129-1121-4
Regression (chapter 8)
Discriminant analysis (chapter 11)
Logistic regression (Chapter 16)
Factor analysis and analysis of the main components (chapter 10)
Correspondence analysis (chapter 14)
Cluster analysis (chapter 12)


Slides, Excercises, Lab tutorial with SPSS will be available on the web page
STUDENTI NON FREQUENTANTI
Prerequisiti e modalità di esame
The exam will consist of a written test, aimed at verifying the acquired knowledge of the topics covered during the course and, on the other, to demonstrate, in the laboratory, to be able to analyze the data available and identify, implementing them, the methods suitable to solve the proposed questions. In both tests a sufficient score will have to be achieved. On the first module there will be multiple-choice questions and some practical exercises, on the second module a series of analyzes to be performed with SPSS and commented.
Module 1
Programma
Collection, preparation and quality control of data

Review of Iinference and Bivariate Analysis
- Sampling, probability and Inference
- Correlation and regression
- Association
- Conforted medium

SPSS software will be used
Materiale didattico e bibliografia
"Statistics for Marketing and Consumer Research", by M. Mazzocchi, Sage Publications, 2013 - ISBN 978-1-4129-1121-4
Collection, preparation and control of data (Chapter 1, 2, 3, 4)
Sampling, probability and Inference (chapter 5, 6, 7)
Correlation and regression (chapter 8)
Association (chapter 9)

Slides, Excercises, Lab tutorial with SPSS will be available on the web page
Module 2
Programma
Multiple linear regression
Models for categorical response variables
Factor analysis and principal components analysis
Correspondence analysis
Cluster analysis

Case study

SPSS software will be used
Materiale didattico e bibliografia
"Statistics for Marketing and Consumer Research", by M. Mazzocchi, Sage Publications, 2013 - ISBN 978-1-4129-1121-4
Regression (chapter 8)
Discriminant analysis (chapter 11)
Logistic regression (Chapter 16)
Factor analysis and analysis of the main components (chapter 10)
Correspondence analysis (chapter 14)
Cluster analysis (chapter 12)


Slides, Excercises, Lab tutorial with SPSS will be available on the web page
Periodo
Secondo trimestre
Periodo
Secondo trimestre
Modalità di valutazione
Esame
Giudizio di valutazione
voto verbalizzato in trentesimi
Siti didattici
Docente/i
Ricevimento:
martedì 10:30-13:30. Variazioni mese luglio: il ricevimento di martedì 2 è spostato a giovedì 4 dalle 10 alle 12 e dalle 15 alle 16. La docente non sarà in Dipartimento dal 22 luglio.
stanza 32 DEMM
Ricevimento:
Settembre, ricevimenti programmati: 09/09 13.30-15.30, 17/09 9.30-11.00, 25/09 10.30-12.00. Da ottobre, il ricevimento si svolgerà regolarmente il mercoledì 10.30-12.00 e il venerdì dale 10.30-12.00.
DEMM, stanza 31, 3° p