Course Syllabus
Obiettivi formativi
L'obiettivo dell'insegnamento è di dare agli studenti conoscenze statistiche progredite necessarie per effettuare autonomamente l'analisi quantitativa e l'interpretazione dei risultati di elaborazioni riguardanti i fenomeni turistici.
Contenuti sintetici
Durante il corso di Statistica dell’ambiente fisico e sociale verranno presentati i metodi di analisi statistica univariata e multivariata con particolare attenzione a quelli maggiormente utilizzati per l’analisi dell’ambiente inteso sia come territorio sia come quello costituito dalle condizioni di vita e di lavoro, dal livello di reddito, dal grado d'istruzione e dalla comunità di cui un individuo fa parte. Nel corso si illustrerà l’utilizzo del software SPSS per la soluzione di problemi reali
Programma esteso
Agresti A., Finlay B. “Statistical Methods for the Social Sciences” Pearson International Edition (fourth Edition)
- Introduction
- Introduction to Statistical Methodology
- Descriptive Statistics and Inferential Statistics
- The Role of Computers In statistics
- Sampling and Measurement
- Variables and their measurement
- Randomization
- Sampling Variability and Potential Bias
- Descriptive Statistics
- Describing Data with Tables and Graphs
- Describing the Center of the Data
- Describing Variability of the Data
- Measures of Position
- Bivariate Descriptive Statistics
- Sample Statistics and Population Parameters
- Analyzing Association between Categorical Variables
- Contingency tables
- Chi-Squared Test of Independence
- Residuals: Detecting the Pattern of Association
- Measuring Association In Contingency Tables
- Linear regression and correlation
- Linear Relationships
- Least Squares Prediction Equation
- The Linear Regression Model
- Measuring Linear Association: the Correlation
- Inference for the Slope and Correlation
- Introduction to multivariate relationship
- Association and Causality
- Controlling for Other Variables
- Types of Multivariate Relationships
- Multiple Regression and Correlation
- The Multiple Regression Model
- Example with Multiple Regression Computer Output
- Multiple Correlation and R²
- Inference for Multiple Regression Coefficients
- Comparing Regression Models
- Partial Correlation
- Standardized Regression Coefficients
- Combining Regression and ANOVA: Quantitative and Categorical Predictors
- Regression with Quantitative and Categorical Predictors
Prerequisiti
Conoscenza della statistica descrittiva univariata
Metodi didattici
Il modulo prevede una attività didattica erogativa di 20 ore (lezioni frontali in aula) ed una attività interattiva di 8 ore in laboratorio statistico (utilizzo di SPSS).
Qualora i laboratori non fossero disponibili per motivi legati alla ristrutturazione degli edifici, una parte delle attività di laboratorio verrà fatta in presenza (circa 2 ore) e una parte da remoto (circa 6 ore).
Modalità di verifica dell'apprendimento
La verifica dell'apprendimento comprende:
- una prova personale scritta sulla conoscenza teorica degli argomenti;
- un lavoro di gruppo comprendente una presentazione orale ed una relazione relativamente ad un'indagine originale sul tema del turismo.
Il voto finale del modulo sarà dato dalla media ponderata della prova personale (con peso 30%) e del lavoro di gruppo (con peso 70%).
Testi di riferimento
Agresti A., Finlay B. “Statistical Methods for the Social Sciences” Pearson International Edition (fourth Edition).
Periodo di erogazione dell'insegnamento
Secondo semestre
Lingua di insegnamento
Inglese
Sustainable Development Goals
Learning objectives
The course will give to the students the advanced statistical knowledge necessary to independently perform quantitative analysis and interpretation of the results concerning the tourism phenomena.
Contents
During the course of the Territorial and social statistics will be presented the methods of univariate and multivariate statistical analysis with special focus on those most commonly used for the analysis , where for the environment is understood as a territory and as the one constituted by the conditions of life and work, from income level, educational level and the community to which an individual belongs. The course will illustrate the use of the SPSS software for the solution of real problems.
Detailed program
Agresti A., Finlay B. “Statistical Methods for the Social Sciences” Pearson International Edition (fourth Edition)
- Introduction
- Introduction to Statistical Methodology
- Descriptive Statistics and Inferential Statistics
- The Role of Computers In statistics
- Sampling and Measurement
- Variables and their measurement
- Randomization
- Sampling Variability and Potential Bias
- Descriptive Statistics
- Describing Data with Tables and Graphs
- Describing the Center of the Data
- Describing Variability of the Data
- Measures of Position
- Bivariate Descriptive Statistics
- Sample Statistics and Population Parameters
- Analyzing Association between Categorical Variables
- Contingency tables
- Chi-Squared Test of Independence
- Residuals: Detecting the Pattern of Association
- Measuring Association In Contingency Tables
- Linear regression and correlation
- Linear Relationships
- Least Squares Prediction Equation
- The Linear Regression Model
- Measuring Linear Association: the Correlation
- Inference for the Slope and Correlation
- Introduction to multivariate relationship
- Association and Causality
- Controlling for Other Variables
- Types of Multivariate Relationships
- Multiple Regression and Correlation
- The Multiple Regression Model
- Example with Multiple Regression Computer Output
- Multiple Correlation and R²
- Inference for Multiple Regression Coefficients
- Comparing Regression Models
- Partial Correlation
- Standardized Regression Coefficients
- Combining Regression and ANOVA: Quantitative and Categorical Predictors
- Regression with Quantitative and Categorical Predictors
Prerequisites
Univariate descriptive statistics
Teaching methods
The module includes 20 hours of didactic activity (lectures in the classroom) and 8 hours of interactive activity in the statistical laboratory (using SPSS).
If the laboratories are unavailable due to building renovations, part of the laboratory activities will be conducted in person (about 2 hours) and part remotely (about 6 hours).
Assessment methods
The assessment includes:
- a personal written test on the theoretical knowledge of the topics;
- a group project, which includes an oral presentation and a report on an original survey on the topic of tourism.
The final grade for the module will be a weighted average of the personal test (weight: 30%) and the group project (weight: 70%).
Textbooks and Reading Materials
Agresti A., Finlay B. “Statistical Methods for the Social Sciences” Pearson International Edition (fourth Edition).
Semester
Second semester
Teaching language
English
