OVERVIEW

The Tourism Statistics course aims to explore simple statistical tools for analyzing data in the tourism sector. You will learn how to collect, analyze, and interpret data to understand the characteristics and trends in the tourism industry

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

At the end of the course, students will:

• Know the main tools for summarizing and presenting data through the acquisition of key descriptive statistics tools.
• Be familiar with the primary sources of tourism data.
• Be able to choose appropriate techniques based on the type of data to be analyzed.
• Be capable of performing basic descriptive analyses for univariate and bivariate phenomena using the main summary indices.
• Be able to find information on tourism phenomena by searching the main databases.

PREREQUISITES

There are no specific requirements.

TEACHING METHODS

Standard lectures and exercises.

Students with disabilities, SLD or SEN

Students with disabilities, with SLD or with SEN are reminded that, to request exam accommodations, they must first upload their certification to the University website at servizionline.unige.it<https://servizionline.unige.it/>, in the “Students” section. The documentation will be checked by the University’s Services for the Inclusion of Students with Disabilities and with SLD.

At the beginning of the course, students are advised to contact the lecturer to agree on exam arrangements which, while respecting the learning objectives of the course, take individual learning needs into account.

To request compensatory tools or dispensatory measures, students with disabilities or SLD must fill in the dedicated Webform available athttps://unige.it/disabilita-dsa, at least 7 working days before the exam.

Students with SEN may instead send their request by e-mail to the lecturer, copying the Department Representative, Prof. Elena Lagomarsino, atinclusione.economia@unige.it<mailto:inclusione.economia@unige.it>, and the Inclusion Office atinclusione.studenti@info.unige.it<mailto:inclusione.studenti@info.unige.it>.

Requests from students will be assessed by the lecturer and may be approved or rejected.

SYLLABUS/CONTENT

DESCRIPTIVE STATISTICS

• Distribution of a variable and its representation: frequency distributions, charts
• Measures of central tendency: mean, median, mode, and percentiles
• Measures of variability
• Index numbers
• Measures of association and correlation

TOURISM STATISTICS

• Definition of a tourist
• The main sources of tourism data
• Statistics on tourism supply
• Types and classifications of tourism supply
• Key indicators of accommodation utilization
• Statistics on tourism 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

TEACHERS AND EXAM BOARD

LESSONS

LESSONS START

1° semester

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

Practical test in Excel and oral exam

ASSESSMENT METHODS

The practical test in Excel focuses on the first part of the program (Descriptive Statistics) and is aimed at assessing the student's ability to apply the knowledge acquired. The oral exam covers the second part of the program (Tourism Statistics) and aims to evaluate the understanding and comprehension of theoretical concepts, methodologies, and their application in the statistical analysis of tourism phenomena.

FURTHER INFORMATION

Ask the professor for other information not included in the teaching schedule.