OVERVIEW

AIMS AND CONTENT

LEARNING OUTCOMES

The course aims to provide basic knowledge of the main statistical tools for the collection and analysis of tourism data and of the main sources of statistical information about tourism.

AIMS AND LEARNING OUTCOMES

Knowledge and understanding: Students will become familiar with the main methods of descriptive statistics and the most important sampling methods. They will also acquire detailed information on the main national and international statistical surveys on tourism.

Ability to apply knowledge and understanding: At the end of the course, students will be able to:

-Organise, manage and analyse datasets using Excel

-Use official tourism statistics sources

-Measure tourist satisfaction by means of a sample survey.

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.

TEACHING METHODS

Lectures with use of Excel for data management and analysis.

SYLLABUS/CONTENT

The course covers some fundamental statistical tools for the analysis of tourism data. The theoretical part of the course will be accompanied by a practical part, carried out in a computer room, aimed at learning the skills necessary to acquire, reorganize and analyze data on tourism.

Detailed course programme

DESCRIPTIVE STATISTICS

• Character distribution and its representation: frequency distributions, diagrams
• Position indices: mean, median, fashion and percentiles
• Indices of variability
• Index numbers
• Association and correlation measures
• Regression analysis

SAMPLE SURVEYS

• Population and sample, description and inference
• The simple random sample
• Stratified, cluster and multistage sampling
• Questionnaire and methods of administration

TOURISM STATISTICS

• Definition of tourist
• The main sources of tourism data
• Tourism supply statistics
• Types and classifications of tourism supply
• Main indicators of utilisation of the accommodation supply
• Tourism demand statistics
• Quantitative analysis of demand

RECOMMENDED READING/BIBLIOGRAPHY

Pasetti, P. (2012), Statistica del turismo, Carocci

Borra S., Di Ciaccio A. (2021), Statistica. Metodologie per le scienze economiche e sociali, IV edizione, McGraw-Hill

Materials distributed by the lecturer

TEACHERS AND EXAM BOARD

Exam Board

CORRADO LAGAZIO (President)

MARTA NAI RUSCONE

FABIO RAPALLO

LESSONS

LESSONS START

September 2023

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

For attending students, the examination consists of a practical test in Excel and an oral test.
For non-attending students, the examination is oral only.

ASSESSMENT METHODS

The practical test is used to assess the student's ability to apply the knowledge acquired. The oral test is used to assess the student's level of understanding of the knowledge acquired.

Exam schedule