- Docente: Stefania Mignani
- Credits: 6
- SSD: SECS-S/01
- Language: English
- Teaching Mode: Traditional lectures
- Campus: Rimini
- Corso: Second cycle degree programme (LM) in Tourism Economics and Management (cod. 8609)
Learning outcomes
This course aims to provide basic statistical techniques for investigating socio-economic phenomena, with specific attention to the tourism domain. Particular emphasis is addressed to the descriptive and inferential techniques for data analysis also in a multidimensional context. At the end of this course, the student will be able to i) collect and organize tourism data; ii) arrange a sample survey and build a questionnaire for his/her own research purposes; iii) perform statistical analysis in the tourism field.
Course contents
Review on the main methods to collect and analysis data -visual display of data, measures of central tendency, and variability;
-basic probability concepts and inferential techniques; hypothesis testing, with particular emphasis on statistical tests in the linear regression model.
Designing of a sampling survey
-the aim of the survey
-the different kinds of survey: total population or a sample
-notes on main sampling designs: probabilistic and not probabilistic
Designing questionnaires
-How formulate the questions
-the different kind of questions: open, closed, multiple choice
-how to aminister a questionnaire
-the validity of a questionnaire
Methods for analyzing data coming from a questionnarie
-some hints on factor analysis
Classification methods
-Cluster analysis
The course includes lecture topics on statistical analysis on tourism data. Team work activities will be settled in laboratoryto discuss case study
Readings/Bibliography
eyond teaching material provided by the lecturer the following reference is recommended as additional readings:
- Paul Newbold Carlson William Statistics for Business and Economics, Pearson, 2012
- Alan Bryman Social Research Methods, Oxford, 2015
Teaching methods
The course is based both on lectures of methodological aspects and on discussion of specific case studies on touism.
Assessment methods
Assessment is based on a single final written exam. It consists of open and multiple choice questions on theoretical aspect and questions requiring to interpret and comment the output of a data analysis
Teaching tools
Blackboard; PC; videoprojector; computer laboratory
Office hours
See the website of Stefania Mignani